{"id":"W2111013677","doi":"10.1080/15389588.2012.702249","title":"Licensing Age Issues: Deliberations from a Workshop Devoted to this Topic","year":2013,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Legislature; Licensure; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Poison control; Injury prevention; Political science; Public relations; Gerontology; Medicine; Engineering; Psychology; Medical education; Environmental health; Law","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":["insufficient_payload"],"category_scores_codex":[0.00007655386,0.000176775,0.0001776964,0.00009828783,0.0001172978,0.00008895586,0.0001255216,0.0001452622,0.001283994],"category_scores_gemma":[0.00001534634,0.0001804353,0.00008005844,0.0002424373,0.00001526707,0.0002589443,0.00002297554,0.0001882246,0.001408005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007407409,"about_ca_system_score_gemma":0.00001451258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005212345,"about_ca_topic_score_gemma":0.0001583865,"domain_scores_codex":[0.9990099,0.00004450187,0.0003125566,0.0002215823,0.0001431125,0.0002683527],"domain_scores_gemma":[0.9995246,0.00003429182,0.00002511561,0.0002636823,0.00003999536,0.0001123061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002314921,0.0001550174,0.00003376161,0.00004509964,0.0001632893,0.000007911919,0.005824091,0.1283329,0.008249572,0.0003927599,0.1192268,0.7375457],"study_design_scores_gemma":[0.003332055,0.0005610924,0.07992321,0.001506581,0.0005405484,0.00002036505,0.002799082,0.6060528,0.007358311,0.00200625,0.2918824,0.004017362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796072,0.0002368936,0.01521671,0.0003973386,0.0006834801,0.000548245,0.00001123656,0.001037017,0.002261922],"genre_scores_gemma":[0.9839093,0.00004397392,0.0109644,0.0001127041,0.0002981578,0.00005851013,0.0001206887,0.00003874009,0.004453503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335283,"threshold_uncertainty_score":0.999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327196363034177,"score_gpt":0.2536509693201663,"score_spread":0.2403790056898246,"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."}}