{"id":"W2787467754","doi":"10.12688/f1000research.13848.1","title":"Hubris and Sciences","year":2018,"lang":"en","type":"preprint","venue":"F1000Research","topic":"History, Medicine, and Leadership","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Abbott Diagnostics","keywords":"Hubris; Pride; Overconfidence effect; Narcissism; Psychology; Humility; Social psychology; Power (physics); Scrutiny; Cruelty; Environmental ethics; Political science; Criminology; Law; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.006187138,0.0001430972,0.0002322592,0.0003374284,0.001396239,0.0002607903,0.001078484,0.0003340397,0.001625043],"category_scores_gemma":[0.001578251,0.0001305974,0.00005591519,0.00034706,0.008670636,0.00008904696,0.00005508684,0.0008147008,0.0003439745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849632,"about_ca_system_score_gemma":0.001803419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102115,"about_ca_topic_score_gemma":0.002276174,"domain_scores_codex":[0.9960592,0.0007347501,0.0001764435,0.0005769436,0.001751823,0.0007008176],"domain_scores_gemma":[0.9986205,0.0004162686,0.00006096614,0.0003038308,0.000224897,0.0003735879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003575898,0.0000805044,0.02607337,0.0003735781,0.00004456288,0.00004962525,0.3672446,0.000002362488,0.00009491141,0.01102647,0.5787495,0.0162248],"study_design_scores_gemma":[0.0001500839,0.0001204265,0.00329992,0.0002083494,0.0000140517,0.000001208891,0.08106066,0.00005131033,0.00003911487,0.00169624,0.9130924,0.0002662819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04806336,0.004271548,0.00006563588,0.01392683,0.00145243,0.0006284612,0.00001152102,0.0001447668,0.9314355],"genre_scores_gemma":[0.9250838,0.0003245163,0.0008681206,0.0006621642,0.006398608,0.0000824628,0.00001116074,0.00003843751,0.0665307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8770205,"threshold_uncertainty_score":0.9999038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2994346854342611,"score_gpt":0.4801869928708659,"score_spread":0.1807523074366048,"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."}}