{"id":"W4295066091","doi":"10.3390/jintelligence10030062","title":"Teacher Creativity: When Professional Coherence Supports Beautiful Risks","year":2022,"lang":"en","type":"article","venue":"Journal of Intelligence","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Creativity; Psychology; Context (archaeology); Professional development; Coherence (philosophical gambling strategy); Pedagogy; Mathematics education; Relevance (law); Variety (cybernetics); Theme (computing); Natural (archaeology); Engineering ethics; Social psychology; Computer science; Political science","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":[0.007423705,0.0003307652,0.0004551996,0.001632079,0.005940638,0.01232337,0.00106793,0.002254835,0.00231248],"category_scores_gemma":[0.03005201,0.0005056599,0.0005189904,0.0009434475,0.01242677,0.005575794,0.01067593,0.002504845,0.0003422047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673679,"about_ca_system_score_gemma":0.006426114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570811,"about_ca_topic_score_gemma":0.003092046,"domain_scores_codex":[0.9830453,0.008435764,0.0007103388,0.001489979,0.004090656,0.002227875],"domain_scores_gemma":[0.9732064,0.0117227,0.00596009,0.002411523,0.002040465,0.004658888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003618146,0.0006019533,0.07174633,0.0005142125,0.00008473829,0.003791004,0.7130049,0.0005605861,0.009572931,0.1006163,0.003486353,0.09565882],"study_design_scores_gemma":[0.0001871147,0.0006601003,0.09826497,0.0006918828,0.0001004748,0.005324145,0.6500072,0.001702923,0.003660498,0.1468598,0.09236952,0.0001713273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538745,0.001005213,0.01422895,0.008804761,0.0001603692,0.0001361765,0.00002762865,0.0001329584,0.1216295],"genre_scores_gemma":[0.9969347,0.0001131441,0.001570749,0.0001539586,0.00002143191,0.00002539886,0.000007393585,0.00001664426,0.001156735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232337,"threshold_uncertainty_score":0.03926075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121470857971476,"score_gpt":0.4331483813738541,"score_spread":0.3210012955767065,"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."}}