{"id":"W2790383596","doi":"10.1177/0361198118784143","title":"Sun Glare: Network Characterization and Safety Effects","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"GLARE; Collision; Environmental science; Stage (stratigraphy); Computer science; Computer security; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003916225,0.000354151,0.0001930279,0.001589161,0.0003024672,0.0006370983,0.0004396711,0.0003067749,0.001132221],"category_scores_gemma":[0.001118397,0.0001620234,0.0003534164,0.001203725,0.0001779975,0.0006586221,0.0005193648,0.0002173147,0.0001032021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009450561,"about_ca_system_score_gemma":0.0004271368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0336295,"about_ca_topic_score_gemma":0.06669187,"domain_scores_codex":[0.9997384,0.00003493783,0.00001352493,0.00005767475,0.00009869523,0.00005684105],"domain_scores_gemma":[0.9994166,0.0001702346,0.0001662278,0.00004594271,0.0001533585,0.00004771021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002466491,0.0001201721,0.7266973,0.0001561311,0.0001701065,0.0003558688,0.0006575965,0.2101167,0.008359987,0.001040814,0.0006928472,0.05138588],"study_design_scores_gemma":[0.00000852096,0.0002226133,0.8131585,0.00002656658,0.00005257024,0.0001918221,0.0007273445,0.1813337,0.001988954,0.0006062532,0.001658704,0.00002456075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885504,0.0001075,0.008481945,0.00003276486,0.000007130952,0.00006161795,0.0007235772,0.0000863063,0.001948618],"genre_scores_gemma":[0.9953282,0.00007626999,0.003240213,0.000007449513,0.00000438256,0.000017737,0.0007123821,0.00001104827,0.0006024544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336295,"threshold_uncertainty_score":0.06686753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277076309992485,"score_gpt":0.3063697630266958,"score_spread":0.2786621320274473,"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."}}