{"id":"W2007178931","doi":"10.1080/14926150309556582","title":"The orchestration of learning and teaching methods in science education","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Orchestration; Matching (statistics); Computer science; Class (philosophy); Metaphor; Teaching method; Mathematics education; Range (aeronautics); Psychology; Artificial intelligence; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003558802,0.0001752073,0.0002096291,0.0008534901,0.001034847,0.006349728,0.0008066929,0.0008036887,0.004005957],"category_scores_gemma":[0.01431925,0.0003918852,0.0002491,0.0006749787,0.001971959,0.002373674,0.001781821,0.001075481,0.0005122159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949979,"about_ca_system_score_gemma":0.00248375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00599081,"about_ca_topic_score_gemma":0.008838933,"domain_scores_codex":[0.9959842,0.001678644,0.0001745747,0.0004949722,0.001289413,0.0003782678],"domain_scores_gemma":[0.988409,0.006802525,0.001436504,0.0008899486,0.001271788,0.001190052],"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":[0.001304514,0.00103112,0.2087405,0.0002606885,0.0001256343,0.0002654543,0.05231685,0.003161943,0.05984667,0.2082702,0.001651875,0.4630245],"study_design_scores_gemma":[0.0001982453,0.0006672344,0.6943685,0.0002098817,0.0001286881,0.0005212941,0.02762601,0.01468332,0.01829053,0.1910598,0.05209174,0.0001546636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128693,0.0005703768,0.01568518,0.0007915194,0.00005517413,0.00005758217,0.0000511347,0.00009000648,0.06982973],"genre_scores_gemma":[0.9854762,0.0001320769,0.00899727,0.00006144326,0.00001614598,0.00003326897,0.00002802666,0.00005825981,0.005197422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006349728,"threshold_uncertainty_score":0.01882094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181583884854476,"score_gpt":0.3826894394105509,"score_spread":0.3645310509251034,"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."}}