{"id":"W757701294","doi":"","title":"Temporal Transferability and Updating of Safety Planning Models","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transferability; Calibration; Context (archaeology); Bayesian probability; Computer science; Sample (material); Statistical model; Sensitivity (control systems); Predictive modelling; Econometrics; Data mining; Machine learning; Statistics; Artificial intelligence; Geography; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01734967,0.000650619,0.0007093709,0.001217163,0.0005180857,0.001790475,0.001997106,0.0009344019,0.001595348],"category_scores_gemma":[0.1082532,0.0008551364,0.001030322,0.001142414,0.001046878,0.004547406,0.002253269,0.002208099,0.0002290129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696499,"about_ca_system_score_gemma":0.001270037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307869,"about_ca_topic_score_gemma":0.008106725,"domain_scores_codex":[0.9935541,0.003710543,0.0003380566,0.001001006,0.001126003,0.0002702702],"domain_scores_gemma":[0.9429422,0.04182018,0.005599933,0.006721054,0.002649906,0.0002667391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001591897,0.00007701742,0.01770137,0.00004917729,0.0001849438,0.00008699322,0.0003280314,0.9068444,0.0006488613,0.01192097,0.0003048894,0.0616941],"study_design_scores_gemma":[0.00001424367,0.00007284099,0.004705865,0.00001593586,0.00004674904,0.00003790469,0.00004696277,0.9830335,0.0007133311,0.01076939,0.0005249298,0.00001843035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3454596,0.0003458057,0.6478755,0.0006641885,0.00006041368,0.0001437512,0.0003087532,0.0006178125,0.004524149],"genre_scores_gemma":[0.9581473,0.0002076781,0.04006388,0.00006002191,0.00003980485,0.00008537051,0.000374239,0.00007030534,0.0009513035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01734967,"threshold_uncertainty_score":0.09175497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219145936165196,"score_gpt":0.3280081633461215,"score_spread":0.2858167039844696,"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."}}