{"id":"W587989570","doi":"10.1037/e417802008-003","title":"Reducing the crash risk for young drivers","year":2003,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Traffic and Road Safety","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Computer science; Forensic engineering; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004372703,0.0004937024,0.0003877294,0.0001016742,0.0003478879,0.00009837447,0.0009485995,0.0003633963,0.0003590473],"category_scores_gemma":[0.00007553118,0.0003758284,0.0001687982,0.0001803204,0.0001017527,0.0001249032,0.00006264223,0.000819914,0.0004250654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008144055,"about_ca_system_score_gemma":0.00004473434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001375756,"about_ca_topic_score_gemma":0.0003154654,"domain_scores_codex":[0.9981539,0.00006859859,0.0004315117,0.0004967853,0.0002677668,0.0005814528],"domain_scores_gemma":[0.9979321,0.0002001323,0.0001308758,0.001579296,0.00002384418,0.0001337882],"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":[0.000008859483,0.00002549324,0.000006005413,0.0001760894,0.0001950693,0.000007661168,0.00002134116,0.004241199,0.000002060167,0.000008085439,0.9943426,0.0009655067],"study_design_scores_gemma":[0.0004187343,0.0000228554,0.00007836997,0.00005080449,0.0003737054,0.00002992542,0.00004349007,0.0005918831,0.000006879584,0.00002392947,0.9978638,0.0004956478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001313421,0.0006028209,0.001056896,0.00004572936,0.003017534,0.0006357725,0.9943891,0.0001483073,0.00009068642],"genre_scores_gemma":[0.00003578668,0.002862075,0.0005894578,0.0001041292,0.0004879133,0.0001176084,0.9956988,0.00006428791,0.00003996167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003649316,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111570158866934,"score_gpt":0.2395239412469135,"score_spread":0.22836692536022,"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."}}