{"id":"W2972244365","doi":"10.7939/r37h1f169","title":"SUN GLARE: NETWORK CHARACTERIZATION AND SAFETY EFFECTS","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"GLARE; Characterization (materials science); Computer science; Optics; Physics; Materials science; Nanotechnology","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":[0.0006582073,0.000498087,0.0002037912,0.001577853,0.0003294023,0.0009940999,0.0005940766,0.0004585329,0.001662502],"category_scores_gemma":[0.002180745,0.0001775974,0.0005185671,0.00110379,0.000286202,0.0008553626,0.00060999,0.0004567833,0.0002032095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391872,"about_ca_system_score_gemma":0.0006621958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03346903,"about_ca_topic_score_gemma":0.02564831,"domain_scores_codex":[0.9997211,0.00004622704,0.00001450409,0.00006836842,0.00008781005,0.00006186658],"domain_scores_gemma":[0.9987884,0.0005140894,0.0002277896,0.00009866946,0.0002986663,0.00007248074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001965158,0.0001383165,0.154105,0.0002379268,0.000113198,0.0002952945,0.0004571279,0.7901666,0.009025302,0.003649303,0.001605664,0.04000979],"study_design_scores_gemma":[0.000009366908,0.0001822702,0.1209087,0.00004969339,0.00006304597,0.0002089757,0.00056111,0.8672949,0.005498298,0.002089099,0.00310569,0.00002874242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516691,0.0002767214,0.03994048,0.0001729414,0.00002608326,0.0001611066,0.002410688,0.0003306288,0.005012249],"genre_scores_gemma":[0.9845898,0.0002430604,0.01178726,0.00001523197,0.000008263584,0.00007641332,0.001721409,0.00003324966,0.001525422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03346903,"threshold_uncertainty_score":0.06654841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002713517709982701,"score_gpt":0.1385788545592485,"score_spread":0.1358653368492658,"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."}}