{"id":"W7067244267","doi":"","title":"Justifying and Prioritizing Roadway Lighting: A Case Study of 
\\nQuebec Highways","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Limiting; Hazard; Term (time); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00251071,0.0005626737,0.0003159428,0.001393235,0.004443542,0.001393984,0.002022332,0.001800793,0.00306168],"category_scores_gemma":[0.005004188,0.0002673321,0.0005050527,0.002038148,0.001512775,0.0007803285,0.0007432282,0.00106867,0.0002503555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02009443,"about_ca_system_score_gemma":0.01116112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8904083,"about_ca_topic_score_gemma":0.9590536,"domain_scores_codex":[0.9979296,0.0008178171,0.00005171386,0.0001628613,0.0005046867,0.0005333791],"domain_scores_gemma":[0.9941044,0.002538212,0.0003256025,0.0002559752,0.002222205,0.0005534437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001298504,0.006086652,0.4373658,0.001023152,0.000441607,0.04167653,0.04223408,0.202915,0.01784095,0.02065536,0.04236728,0.1860951],"study_design_scores_gemma":[0.0004303359,0.002678357,0.4076306,0.0004938265,0.0002848981,0.002447964,0.2869217,0.1927099,0.01120553,0.003290865,0.09148929,0.000416699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882606,0.000140837,0.002535329,0.0007228923,0.00001733673,0.0002877307,0.0003896568,0.00002974889,0.007615899],"genre_scores_gemma":[0.9874844,0.0001907009,0.005284632,0.0001547257,0.00000720367,0.00008998256,0.000246806,0.00001552126,0.006526032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095917,"threshold_uncertainty_score":0.2204741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602847554509218,"score_gpt":0.3024080760907639,"score_spread":0.2663796005456717,"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."}}