{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765784,0.0002415133,0.0001596758,0.00165541,0.001227296,0.001259982,0.0006111778,0.0002183014,0.003569181],"category_scores_gemma":[0.0011458,0.0001715517,0.000385532,0.002975447,0.0005526172,0.0003046194,0.0008930942,0.0002548705,0.0001709689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009262629,"about_ca_system_score_gemma":0.004776775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9604412,"about_ca_topic_score_gemma":0.98326,"domain_scores_codex":[0.9996698,0.00004714932,0.00001228749,0.00007288741,0.0000774249,0.0001203894],"domain_scores_gemma":[0.9992629,0.00007712475,0.0002306636,0.00002936233,0.0002237866,0.0001762105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003399156,0.00001760248,0.9943349,0.00002003235,0.00003418567,0.0001243045,0.0005900682,0.0002552666,0.000265726,0.0001228472,0.0005727679,0.003628269],"study_design_scores_gemma":[0.000001292746,0.00001013461,0.9979108,0.00000756752,0.000009015315,0.0000297273,0.001068531,0.0003081547,0.00003625246,0.00001022815,0.0006034686,0.000004877592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953213,0.0001499815,0.0001113098,0.00007996409,0.000002280954,0.00003224322,0.002890507,0.00001050864,0.001401982],"genre_scores_gemma":[0.998311,0.00008796948,0.0001432423,0.00001111656,0.000001888955,0.00001590947,0.0008324654,0.000002929264,0.0005933302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03955877,"threshold_uncertainty_score":0.07958341,"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."}}