{"id":"W7100012978","doi":"","title":"Opportunities for Video Lottery Terminal Gambling in Montréal An Environmental Analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Lottery; Borough; Government (linguistics); Proxy (statistics); Geocoding","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004424773,0.0000979354,0.000166317,0.00002584475,0.00004897044,0.00004092127,0.0001429948,0.00004630865,0.000229568],"category_scores_gemma":[0.00002320756,0.00003754843,0.0000956801,0.0001504749,0.00005260878,0.0002233199,0.0000372977,0.00004763746,0.000004351956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000517804,"about_ca_system_score_gemma":0.000005685353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146093,"about_ca_topic_score_gemma":0.01231,"domain_scores_codex":[0.9991265,0.00006468001,0.0001963395,0.0002513808,0.000152569,0.0002085485],"domain_scores_gemma":[0.9996376,0.0001053669,0.0000352222,0.00005856417,0.0000114494,0.0001518114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004088826,0.001176655,0.8078905,0.00001019211,0.000130809,0.00007601387,0.0009721122,0.0006104015,0.03052214,0.000121475,0.001228424,0.1568524],"study_design_scores_gemma":[0.0007158155,0.001724339,0.9165404,0.000005594763,0.0001545817,0.00001575415,0.04512674,0.01859629,0.002058417,0.001221283,0.01321033,0.0006304567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983466,0.00004992003,0.00002430989,0.001051313,0.00002728605,0.0001576792,0.00006689676,0.00003237673,0.000243573],"genre_scores_gemma":[0.998787,0.000003071312,0.0004009601,0.0002841034,0.00007673191,0.00002911648,0.000147441,5.528827e-7,0.0002710079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.156222,"threshold_uncertainty_score":0.6869267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419228829550383,"score_gpt":0.2636370941616742,"score_spread":0.1217142112066359,"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."}}