{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004282731,0.0003962007,0.0003617285,0.0008812395,0.001089601,0.002840498,0.001389122,0.001348755,0.002493131],"category_scores_gemma":[0.02248489,0.0002765903,0.0003351315,0.0006296461,0.003711551,0.003463478,0.003709985,0.001461623,0.0004179312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672264,"about_ca_system_score_gemma":0.0008908751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004103649,"about_ca_topic_score_gemma":0.0006726339,"domain_scores_codex":[0.994325,0.004310722,0.0001256074,0.0003125294,0.0007287666,0.0001973668],"domain_scores_gemma":[0.9863955,0.01113642,0.0008590891,0.0008815909,0.0003651328,0.0003622762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000412978,0.001732253,0.02164842,0.002089836,0.00006730349,0.00238148,0.2101824,0.00423115,0.02417395,0.09053809,0.004012579,0.6385295],"study_design_scores_gemma":[0.000307806,0.003853837,0.06050302,0.006522345,0.0002462611,0.01481635,0.1885314,0.02472496,0.05782231,0.3311659,0.3111171,0.0003887555],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339667,0.004137578,0.108476,0.002755656,0.0001202108,0.000342665,0.00004098483,0.0002119886,0.04994817],"genre_scores_gemma":[0.9074461,0.002109983,0.08708911,0.0002059405,0.00003734443,0.0001941874,0.00004367506,0.00004260916,0.00283104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004282731,"threshold_uncertainty_score":0.02264953,"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."}}