{"id":"W1489008627","doi":"10.1002/atr.190","title":"A programmable calculation procedure for number of traffic conflict points at highway intersections","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Traffic conflict; Computer science; Transport engineering; Simulation; Operations research; Engineering; Traffic congestion; Floating car data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001534218,0.001157274,0.0007723067,0.002570115,0.0008428592,0.001818095,0.001877162,0.0004698228,0.01171396],"category_scores_gemma":[0.009301594,0.000489543,0.0008557714,0.001268253,0.0008394212,0.001249638,0.00128657,0.0006732771,0.001575243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008487651,"about_ca_system_score_gemma":0.001861608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003114943,"about_ca_topic_score_gemma":0.002431789,"domain_scores_codex":[0.9978732,0.0004179363,0.0002605667,0.000511998,0.000832192,0.0001041015],"domain_scores_gemma":[0.9957093,0.002139342,0.0003529624,0.0007681442,0.0009464781,0.00008368782],"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":[0.0006685224,0.0002879669,0.008457608,0.000491046,0.0001078771,0.0004700547,0.0009803103,0.1633367,0.03969331,0.06909093,0.009077307,0.7073383],"study_design_scores_gemma":[0.0002150626,0.0003829951,0.005023124,0.000116077,0.0001194512,0.000662046,0.0003274651,0.8501396,0.08370771,0.03499981,0.0240693,0.0002373861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0137809,0.00002157637,0.9776498,0.00003054188,0.00002326692,0.0001755545,0.0002447972,0.004919298,0.003154258],"genre_scores_gemma":[0.1995936,0.00007083891,0.7963488,0.00002939185,0.00001665602,0.0006509028,0.0006924153,0.0006126293,0.001984639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171396,"threshold_uncertainty_score":0.03918707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015077238926676,"score_gpt":0.2553118852271167,"score_spread":0.24516111283785,"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."}}