{"id":"W2512666317","doi":"10.1136/oemed-2016-103951.615","title":"P300 Using line of sight plots to increase awareness of visibility hazards","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Visibility; Computer science; Sight; Line-of-sight; Line (geometry); Computer vision; Geography; Engineering; Astronomy; Mathematics; Meteorology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000526589,0.0007014621,0.0003966773,0.0006272706,0.0001630037,0.000581625,0.0005801453,0.0005969512,0.008007376],"category_scores_gemma":[0.008326718,0.0001989815,0.0001457398,0.0002861464,0.0001924905,0.001013108,0.0006067144,0.0006595408,0.001230934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348583,"about_ca_system_score_gemma":0.0002026681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070007,"about_ca_topic_score_gemma":0.001183702,"domain_scores_codex":[0.9995652,0.00009208617,0.00002562538,0.0001066475,0.0001691996,0.00004122667],"domain_scores_gemma":[0.9973574,0.001624428,0.0003305637,0.00009964826,0.0003572573,0.0002307216],"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":[0.007963168,0.007635609,0.02934203,0.003024457,0.0001381335,0.000845807,0.005737955,0.001346831,0.3463989,0.0007590903,0.01683479,0.5799733],"study_design_scores_gemma":[0.003834527,0.04170975,0.8120753,0.0007112724,0.0003554675,0.003563673,0.003545377,0.02092688,0.08976015,0.004507428,0.01865986,0.0003504173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609268,0.0004239379,0.01885196,0.0003855726,0.0001552919,0.001472646,0.0006308077,0.001960348,0.01519245],"genre_scores_gemma":[0.9633785,0.0005307512,0.02910377,0.0003756719,0.0000965225,0.001615655,0.0003942013,0.0001437635,0.004361193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008007376,"threshold_uncertainty_score":0.02678734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860161178577443,"score_gpt":0.3101930251718116,"score_spread":0.2715914133860372,"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."}}