{"meta":{"query_hash":"38a29ed210ee","filters":{"venue":"K-12 STEM Education"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/38a29ed210ee","api":"https://metacan.xera.ac/api/v1/cohort?venue=K-12+STEM+Education"},"results":[{"id":"W4245881420","doi":"10.4018/978-1-5225-3832-5.ch042","title":"Technology-Supported Inquiry in STEM Teacher Education","year":2017,"lang":"en","type":"book-chapter","venue":"K-12 STEM Education","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Practicum; Teacher education; Mathematics education; Reflection (computer programming); Pedagogy; Psychology; Computer science","score_opus":0.09817480071198205,"score_gpt":0.414189135116307,"score_spread":0.31601433440432497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245881420","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016738502,0.12983929,0.047203355,0.004897622,0.0016038779,0.00017236464,0.00004282279,0.00029667898,0.7992055],"genre_scores_gemma":[0.18189777,0.13239658,0.040877476,0.0016348774,0.0007123245,0.0003716444,0.00014498136,0.00017529048,0.64178896],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997526,0.00009206269,0.00001389451,0.00002999237,0.00009056782,0.000020840553],"domain_scores_gemma":[0.9997389,0.0001944659,0.0000117080035,0.00001431499,0.000019851208,0.000020799464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031433636,0.00026390955,0.00015756181,0.00043257003,0.00058326626,0.0022640366,0.0004343261,0.00089581835,0.0067572175],"category_scores_gemma":[0.0004962473,0.0001222205,0.00019273716,0.0006290984,0.001307096,0.0018422104,0.0012775145,0.0011078565,0.0014452559],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025872238,0.00013474096,0.0004403856,0.00073005125,0.0000048871825,0.00026338754,0.008224066,0.0008957269,0.0025599329,0.39669612,0.028090078,0.56193477],"study_design_scores_gemma":[0.0000051449656,0.00005594016,0.00083812594,0.0011194263,0.0000037594555,0.0006969598,0.0023870508,0.0007027809,0.0011118331,0.044889823,0.9481791,0.000010105867],"about_ca_topic_score_codex":0.0007368929,"about_ca_topic_score_gemma":0.0017845767,"teacher_disagreement_score":0.0067572175,"about_ca_system_score_codex":0.0009688672,"about_ca_system_score_gemma":0.0013973109,"threshold_uncertainty_score":0.02260518},"labels":[],"label_agreement":null},{"id":"W4250413048","doi":"10.4018/978-1-5225-3832-5.ch006","title":"An Integral Approach to Active Learning in Mathematics","year":2017,"lang":"en","type":"book-chapter","venue":"K-12 STEM Education","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Rubric; Active learning (machine learning); Mathematics education; Perspective (graphical); Learning cycle; Process (computing); Experiential learning; Psychology; Mathematics; Computer science; Artificial intelligence","score_opus":0.07133015596559351,"score_gpt":0.3654945205024912,"score_spread":0.2941643645368977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250413048","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011930717,0.013218883,0.32757,0.008558291,0.00075166405,0.00014009618,0.00002661751,0.00029093123,0.6375128],"genre_scores_gemma":[0.5661768,0.017709887,0.21617064,0.0026524845,0.0011152935,0.0007049076,0.00010356872,0.00025860136,0.19510794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986941,0.0006317962,0.000046225996,0.00012347521,0.00043183338,0.00007257474],"domain_scores_gemma":[0.9986358,0.0008715594,0.000076935794,0.00015409001,0.00015225647,0.00010940058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016057732,0.0006374746,0.0002889057,0.0012979,0.0015856955,0.0040252167,0.0014650844,0.0011423021,0.005507722],"category_scores_gemma":[0.0025245466,0.00019571686,0.00045197815,0.0009141476,0.01144455,0.0073630787,0.0038568801,0.0045092534,0.0011221247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033089486,0.000013696832,0.00003652022,0.000056224908,8.069006e-7,0.00001388027,0.0018949361,0.00022961703,0.00014365956,0.98230875,0.000884461,0.0144141195],"study_design_scores_gemma":[0.0000069861017,0.000041060932,0.00014582556,0.0001999251,0.0000035328258,0.00013539355,0.001203912,0.0019339164,0.00038273417,0.8104404,0.1854982,0.000008132968],"about_ca_topic_score_codex":0.0007698412,"about_ca_topic_score_gemma":0.001100569,"teacher_disagreement_score":0.005507722,"about_ca_system_score_codex":0.0028152193,"about_ca_system_score_gemma":0.0017061301,"threshold_uncertainty_score":0.020425916},"labels":[],"label_agreement":null}]}