{"id":"W3119303509","doi":"10.1007/s42330-020-00120-8","title":"CJSMTE: 20 Years Strong","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Social science; Political science; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01886493,0.001040089,0.001079413,0.003234167,0.008538936,0.0156568,0.002937216,0.009899722,0.2091264],"category_scores_gemma":[0.0390814,0.0007776305,0.001079874,0.001597397,0.0036696,0.005747616,0.01299287,0.01226449,0.1073166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006424945,"about_ca_system_score_gemma":0.05028202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237329,"about_ca_topic_score_gemma":0.04752206,"domain_scores_codex":[0.9894315,0.0009908737,0.0003820113,0.0005654641,0.005238831,0.003391234],"domain_scores_gemma":[0.8971164,0.002491487,0.001019115,0.001772764,0.02530564,0.07229467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002792463,0.00004311559,0.0001942821,0.0000439521,0.000004401348,0.00007867918,0.00005137447,0.00002396816,0.0000656921,0.002491734,0.9809318,0.01604322],"study_design_scores_gemma":[0.00002363562,0.00003127746,0.0005037582,0.0001740965,0.000004945214,0.0001124772,0.0001210286,0.00005973722,0.00008640195,0.001897621,0.9969722,0.00001286309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001886651,0.007426978,0.002434526,0.5529752,0.286119,0.0002033072,0.001285685,0.0009514776,0.1467171],"genre_scores_gemma":[0.01728292,0.006798864,0.002357265,0.1445977,0.06609999,0.0003427048,0.001492397,0.001256113,0.759772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2091264,"threshold_uncertainty_score":0.6995977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04450974124914531,"score_gpt":0.3443209564376168,"score_spread":0.2998112151884715,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}