{"id":"W4408774136","doi":"10.1503/cmaj.241116","title":"Running in a storm","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Sudbury","funders":"","keywords":"Favourite; Storm; Sky; Computer science; Visual arts; Meteorology; Art; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001387854,0.00006666625,0.0001295563,0.0003565375,0.00013127,0.00005146179,0.000253589,0.0004698991,0.01374313],"category_scores_gemma":[0.001230461,0.00006920047,0.00004448587,0.0003936907,0.00002281446,0.00006214041,0.00001080372,0.001202882,0.0002784604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335267,"about_ca_system_score_gemma":0.002076322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0210257,"about_ca_topic_score_gemma":0.2220259,"domain_scores_codex":[0.9985358,0.0001116071,0.0003208294,0.0001200786,0.0004621563,0.0004495828],"domain_scores_gemma":[0.9990813,0.0001442943,0.0000751565,0.00009075594,0.00009098797,0.0005175552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006253911,0.00002740727,0.6037082,0.000001609948,0.00004903332,0.0008584162,0.005618998,0.00000364816,0.000002617957,0.01192682,0.3307346,0.04706242],"study_design_scores_gemma":[0.0008586094,0.00002320375,0.2767387,0.00007119316,0.000004870243,0.0001061604,0.003646774,0.0001267317,0.000002261823,0.0008824499,0.7174308,0.0001082367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693553,0.000468079,0.000284137,0.05847903,0.007365555,0.0001017338,0.000002791254,0.00002597469,0.2397197],"genre_scores_gemma":[0.9737654,0.00001060418,0.00006861575,0.02043102,0.000499427,0.00001257059,9.744929e-7,0.000006308967,0.005205109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3866962,"threshold_uncertainty_score":0.9871584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007447226468433747,"score_gpt":0.2987363879392577,"score_spread":0.2912891614708239,"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."}}