{"id":"W2328888181","doi":"10.1002/tea.21319","title":"Exemplification in science instruction: Teaching and learning through examples","year":2016,"lang":"en","type":"article","venue":"Journal of Research in Science Teaching","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Exemplification; Argumentation theory; Scientific literacy; Mathematics education; Conceptual change; Science education; Concept learning; Psychology; Generalization; Reading (process); Nature of Science; Computer science; Pedagogy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04543608,0.0000910685,0.000168523,0.001751836,0.001444967,0.0002696742,0.000718401,0.00004557868,0.00003335403],"category_scores_gemma":[0.01215828,0.00006064206,0.00002080357,0.001606687,0.002419074,0.002648663,0.0002102245,0.002722702,0.0000125117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865694,"about_ca_system_score_gemma":0.0004599373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005002598,"about_ca_topic_score_gemma":0.00002090812,"domain_scores_codex":[0.9957286,0.001393569,0.0004315062,0.0004230725,0.001359323,0.0006639608],"domain_scores_gemma":[0.9977293,0.001334782,0.0002311665,0.0001473575,0.000421621,0.0001357658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007288662,0.00009679951,0.1667159,0.00001602373,0.000002391752,0.00003422997,0.02795287,0.00001758604,0.05481666,0.01670985,0.00001163725,0.7335532],"study_design_scores_gemma":[0.002265977,0.001163571,0.8557137,0.002169099,0.000003967317,0.0008058585,0.1045269,0.0001611774,0.00179129,0.02459778,0.006476953,0.0003237754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835433,0.000223643,0.001790532,0.001696727,0.0002209569,0.00008132057,1.80153e-7,0.00001241745,0.01243086],"genre_scores_gemma":[0.9968243,0.00004751845,0.00265558,0.00003076604,0.0001492377,0.000005276428,4.330362e-8,0.000007274525,0.0002800084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7332294,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1883873598368767,"score_gpt":0.515397402302112,"score_spread":0.3270100424652353,"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."}}