{"id":"W2314186244","doi":"10.14288/1.0106093","title":"Traffic generation in the north arm industrial area","year":2012,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0001588918,0.0001709414,0.0001481122,0.001622054,0.002833303,0.0018317,0.0005631654,0.0005690793,0.01739344],"category_scores_gemma":[0.0003997998,0.0002010536,0.0001488672,0.002797251,0.0004707284,0.0006264484,0.00119901,0.0007208793,0.001451484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00385696,"about_ca_system_score_gemma":0.002111911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2590941,"about_ca_topic_score_gemma":0.5163096,"domain_scores_codex":[0.9997607,0.00003121845,0.00000625703,0.00003113181,0.00005155005,0.0001189868],"domain_scores_gemma":[0.9998542,0.00001489769,0.00002001444,0.000005914706,0.00004357151,0.00006128573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003957034,0.001181027,0.5564104,0.0002492887,0.0000477215,0.009975216,0.02918442,0.003250345,0.002241102,0.03408429,0.07807808,0.2849025],"study_design_scores_gemma":[0.00004763955,0.0002587439,0.7316741,0.0001449717,0.00002682622,0.0016966,0.03152849,0.00300781,0.0002451765,0.004457538,0.2268659,0.00004607745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699801,0.001012192,0.0002645612,0.002544023,0.00009933881,0.00004279719,0.0007030536,0.00005752728,0.1252965],"genre_scores_gemma":[0.9263557,0.001526089,0.0003621357,0.0004202328,0.00008437,0.0000511268,0.000856593,0.00002101818,0.07032286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7409059,"threshold_uncertainty_score":0.5151721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763436985892728,"score_gpt":0.2075457177453873,"score_spread":0.1699113478864601,"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."}}