{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01190967,0.00009214006,0.0003066852,0.0001337976,0.00007425358,0.00002190671,0.0002512378,0.00006968738,0.004834601],"category_scores_gemma":[0.005624957,0.00004800065,0.00005091751,0.0002911291,0.0003743218,0.0002788465,0.00008337463,0.00006641242,0.0001071551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005045307,"about_ca_system_score_gemma":0.0001524566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003332115,"about_ca_topic_score_gemma":0.000184641,"domain_scores_codex":[0.996365,0.001206099,0.0007672042,0.0002921748,0.001215004,0.0001545824],"domain_scores_gemma":[0.9962291,0.002886208,0.0001971426,0.0003126653,0.000317312,0.00005763612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004531855,0.00008490717,0.1928149,0.000003482364,0.00001895238,0.000001558658,0.002827605,0.0001787004,0.005657245,0.04074814,0.001878767,0.7553326],"study_design_scores_gemma":[0.001044846,0.0001086451,0.9448656,0.00003752586,0.000006389254,0.000002954112,0.00113766,0.0006579598,0.000634553,0.01387516,0.03753688,0.00009183953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127747,0.000986591,0.03108451,0.02437044,0.0005139305,0.0006156,0.0001352239,0.00003944155,0.02947953],"genre_scores_gemma":[0.9955574,0.000436817,0.002535315,0.0001572021,0.0000361879,0.000008827109,0.000002181314,0.000003317676,0.001262718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7552407,"threshold_uncertainty_score":0.9960751,"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."}}