{"id":"W2626988176","doi":"10.14712/18047106.733","title":"Active Physics Learning: Making Possible Students’ Cognitive Growth, Positive Emotions and Amazing Creativity","year":2017,"lang":"en","type":"article","venue":"Scientia in educatione","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Creativity; Active learning (machine learning); Mathematics education; Comprehension; Cognition; Physics education; Psychology; Cognitive science; Cognitive psychology; Computer science; Artificial intelligence; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009954118,0.00009684879,0.0001197062,0.0001073107,0.003526512,0.0008512859,0.0002993225,0.00005346136,0.0001226182],"category_scores_gemma":[0.002378711,0.000108025,0.00002821886,0.0002979744,0.0007898096,0.000713155,0.0001241297,0.0002279613,0.00004011033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039273,"about_ca_system_score_gemma":0.0005031367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007124953,"about_ca_topic_score_gemma":0.0005764185,"domain_scores_codex":[0.9985433,0.0002259553,0.0001446187,0.0003325258,0.0004511935,0.0003023731],"domain_scores_gemma":[0.9989445,0.0002691748,0.0001393548,0.0001288084,0.0003986,0.0001195158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009129511,0.0007010691,0.7060714,0.00001195513,0.00002906127,0.000001332779,0.1858076,0.000001617818,0.00006003695,0.09129361,0.00009865772,0.01591448],"study_design_scores_gemma":[0.0002049059,0.00001339419,0.9287502,0.0001903116,0.00001758647,5.570286e-7,0.04442808,0.000008517124,0.0002242245,0.02578828,0.0002330904,0.0001408433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439221,0.00002313527,0.0006810194,0.006295247,0.0009165725,0.0002980596,0.00000454935,0.00003221784,0.04782708],"genre_scores_gemma":[0.9952599,0.00003914398,0.0009830608,0.0001885646,0.0001972304,0.00003994475,0.00001089051,0.00000744782,0.003273772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226788,"threshold_uncertainty_score":0.9977708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331890675565976,"score_gpt":0.4123467876244823,"score_spread":0.3690278808688226,"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."}}