{"id":"W4403433375","doi":"10.1007/978-3-031-70270-9","title":"Creativity Loops–Based Decision Making","year":2024,"lang":"en","type":"book","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Creativity; Psychology; Computer science; Management science; Engineering; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000479908,0.0002546078,0.000250518,0.0003756039,0.0001176883,0.0006006425,0.001104694,0.0001561531,0.0002491859],"category_scores_gemma":[0.00009878247,0.000206714,0.0001829741,0.0003606476,0.00007135366,0.0003892472,0.0007369052,0.0003368631,0.001781084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662467,"about_ca_system_score_gemma":0.0009089248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003079764,"about_ca_topic_score_gemma":0.00002096201,"domain_scores_codex":[0.9979918,0.00002403254,0.0002208003,0.0008607511,0.000598908,0.0003037107],"domain_scores_gemma":[0.9985647,0.000532595,0.00007708222,0.0006140581,0.0001340756,0.0000774526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002408743,0.00001591264,0.000005029844,0.00006204742,0.0000133143,0.0001619952,0.00008376403,0.00001134292,0.00001618085,0.1627688,0.1396943,0.6971648],"study_design_scores_gemma":[0.0001129359,0.00006445142,0.00005601432,0.002157655,0.00002428261,0.00001475773,0.000005216584,0.06704984,0.00008122709,0.3157259,0.6141483,0.0005594452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000001680286,0.0001417891,0.5002515,0.0001494288,0.0004984129,0.00009414033,0.000002726745,0.0002230382,0.4986373],"genre_scores_gemma":[0.002371198,0.00001060421,0.06239834,0.001629154,0.0002135695,0.00001152019,0.000004908613,0.00001968501,0.933341],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6966054,"threshold_uncertainty_score":0.9989961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201004263006035,"score_gpt":0.3038402767917088,"score_spread":0.2718302341616484,"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."}}