{"id":"W2299804191","doi":"10.3390/safety2010008","title":"Conceptual and Methodological Issues in Evaluations of Road Safety Countermeasures","year":2016,"lang":"en","type":"article","venue":"Safety","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Attribution; Conceptualization; Causal chain; Process (computing); Conceptual model; Countermeasure; Logic model; Management science; Risk analysis (engineering); Interpretation (philosophy); Computer science; Process management; Engineering; Psychology; Business; Social psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.645545,0.002826191,0.003369095,0.01175612,0.00555551,0.0206345,0.009372035,0.00874722,0.005668481],"category_scores_gemma":[0.7772201,0.002506965,0.00428061,0.01169719,0.03429557,0.02043261,0.01027362,0.01281295,0.000777072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02388761,"about_ca_system_score_gemma":0.02578239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005342635,"about_ca_topic_score_gemma":0.004413544,"domain_scores_codex":[0.1849047,0.7155538,0.03952654,0.01013274,0.04735796,0.002524215],"domain_scores_gemma":[0.1794498,0.7214333,0.02426158,0.03036704,0.04311664,0.00137168],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005033039,0.0005558192,0.003676259,0.0125422,0.0007841515,0.00007580528,0.01334252,0.003994418,0.0004133836,0.8489612,0.00516361,0.1099874],"study_design_scores_gemma":[0.001168289,0.001037993,0.003923003,0.02071075,0.0006361548,0.0001303554,0.01007073,0.01210895,0.002554162,0.9098287,0.03759203,0.0002389237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0272315,0.03406514,0.7620467,0.07784025,0.003703265,0.02844498,0.0009195732,0.0004154632,0.06533309],"genre_scores_gemma":[0.3179299,0.004928068,0.5692228,0.01415486,0.0008822,0.09073061,0.0002853014,0.0002073372,0.001659015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.354455,"threshold_uncertainty_score":0.4371061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4366055193485413,"score_gpt":0.5708529922143779,"score_spread":0.1342474728658366,"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."}}