{"id":"W1978705905","doi":"10.1016/j.aap.2009.11.001","title":"Comparative optimism among drivers: An intergenerational portrait","year":2009,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Optimism; Crash; Injury prevention; Poison control; Suicide prevention; Human factors and ergonomics; Demography; Occupational safety and health; Age groups; Psychology; Gerontology; Medicine; Environmental health; Social psychology; Sociology; Computer science","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":[0.0004418415,0.0002299314,0.0004293731,0.0004978581,0.0001876531,0.0001370468,0.0002829262,0.0001392257,0.007513445],"category_scores_gemma":[0.000007816175,0.0002391796,0.0005020358,0.0007383304,0.00004202802,0.0007766614,0.00002864932,0.0001820537,0.0002052413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007001313,"about_ca_system_score_gemma":0.00002342393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367783,"about_ca_topic_score_gemma":0.001429172,"domain_scores_codex":[0.9979455,0.000300353,0.0005635041,0.000567291,0.0003204843,0.0003028148],"domain_scores_gemma":[0.9989305,0.00002805362,0.0003110366,0.0004435058,0.0001418363,0.0001451391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001946314,0.00218859,0.8719087,0.000001557036,0.007584734,0.00007796535,0.01655313,0.03617644,0.001401329,0.02697024,0.008293031,0.02864964],"study_design_scores_gemma":[0.0006489627,0.0002898002,0.9831457,0.00001637502,0.001959398,0.000002953293,0.00139383,0.008227356,0.0004229207,0.003256285,0.0002737233,0.00036267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413559,0.0000880029,0.03505079,0.0001639414,0.0002540055,0.0002332996,5.064103e-7,0.00009589923,0.02275764],"genre_scores_gemma":[0.9876269,0.00002137621,0.001918049,0.0001648289,0.0002538782,0.00002357631,0.0006278127,0.00001127354,0.009352294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111237,"threshold_uncertainty_score":0.9933938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028389830551593,"score_gpt":0.3656972078983812,"score_spread":0.3373073773467882,"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."}}