{"id":"W4392598660","doi":"10.5194/egusphere-egu24-3691","title":"Art and music as a teaching aid for STEM subjects","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visual arts; Psychology; Mathematics education; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001581272,0.0004561287,0.0002638225,0.001278491,0.002197351,0.004425356,0.001090698,0.0009023865,0.03074132],"category_scores_gemma":[0.002342831,0.0001519184,0.0004519551,0.000562329,0.001604271,0.001863057,0.004824652,0.001431875,0.006644452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556059,"about_ca_system_score_gemma":0.001088352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004427778,"about_ca_topic_score_gemma":0.003008279,"domain_scores_codex":[0.9987752,0.000288521,0.0000637563,0.0001307116,0.000588825,0.0001530828],"domain_scores_gemma":[0.9986539,0.0003336146,0.00007185449,0.0001467943,0.0002080466,0.0005857206],"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":[0.0001701766,0.0006510062,0.003152536,0.001448381,0.00002209712,0.001382098,0.0209466,0.0007324259,0.05029535,0.04598574,0.06879165,0.806422],"study_design_scores_gemma":[0.00004567226,0.0005894671,0.005690967,0.0005547606,0.00002363817,0.002427151,0.00742076,0.001099994,0.02001205,0.00667374,0.955406,0.00005583365],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1502802,0.006796787,0.09081502,0.00753175,0.007976883,0.0009858923,0.0003102802,0.002948629,0.7323544],"genre_scores_gemma":[0.3716827,0.004667467,0.1438653,0.00221605,0.001928603,0.0004527414,0.0003078418,0.001148794,0.4737304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03074132,"threshold_uncertainty_score":0.1028399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06765770459981008,"score_gpt":0.3149477731319783,"score_spread":0.2472900685321682,"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."}}