{"id":"W2498539606","doi":"10.2495/dne-v11-n3-317-327","title":"A study of traffic accidents in Spanish intercity roads by means of feature vectors","year":2016,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat Valenciana","keywords":"Transport engineering; Feature (linguistics); Geography; Engineering; Computer science; Civil engineering","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":[0.0008449085,0.0004097364,0.0003630845,0.0034915,0.0002952227,0.0007348827,0.0003774488,0.0003325554,0.00051727],"category_scores_gemma":[0.003379692,0.0001138031,0.0005683164,0.003063118,0.0002920918,0.0005972474,0.0003375,0.0002617819,0.00009918469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000731086,"about_ca_system_score_gemma":0.0006200221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585913,"about_ca_topic_score_gemma":0.01089306,"domain_scores_codex":[0.9993418,0.0001949995,0.00007353113,0.0001431985,0.000147805,0.00009866765],"domain_scores_gemma":[0.9978616,0.001018026,0.0003437115,0.0001761181,0.0005108504,0.0000896921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004970439,0.0005413943,0.6647568,0.0002310655,0.0003943112,0.0007575476,0.0008452772,0.1499501,0.004591307,0.004472567,0.002451004,0.1705115],"study_design_scores_gemma":[0.00001185915,0.0002244449,0.574752,0.00002529807,0.00007152992,0.0002294366,0.001351897,0.4184529,0.001319302,0.002009319,0.001512312,0.00003969559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809005,0.0001398987,0.01701652,0.00007039514,0.00001477799,0.00002827025,0.001231863,0.00007155781,0.0005263122],"genre_scores_gemma":[0.9954152,0.00005582526,0.003208455,0.000002868486,0.000006583481,0.00001636621,0.001097554,0.0000058153,0.0001913187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585913,"threshold_uncertainty_score":0.05141717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007065242653309218,"score_gpt":0.2316978859963794,"score_spread":0.2246326433430702,"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."}}