{"id":"W3080778268","doi":"","title":"Environmental Scan of Withdrawal Management Centres in Ontario","year":2020,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Environmental planning; Environmental resource management; Environmental 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":[0.0007982624,0.0001969499,0.0002184465,0.002238124,0.004730041,0.001124156,0.0008802099,0.0004604106,0.003563623],"category_scores_gemma":[0.002864216,0.0003625088,0.0002058142,0.005577769,0.001120934,0.0004903781,0.001625063,0.0004550607,0.0002336532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02981562,"about_ca_system_score_gemma":0.0452993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753672,"about_ca_topic_score_gemma":0.9939175,"domain_scores_codex":[0.9979062,0.0002482631,0.00008232368,0.0001568475,0.001126647,0.000479703],"domain_scores_gemma":[0.9955487,0.0004385994,0.0007210334,0.0001029243,0.002714762,0.0004738484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004175674,0.0001220543,0.8108839,0.001304258,0.00009639277,0.00559205,0.08709469,0.001032292,0.01071422,0.00284945,0.01961719,0.06027595],"study_design_scores_gemma":[0.000007583107,0.00006010542,0.929753,0.000111799,0.00001260364,0.0001651663,0.03046508,0.0001765967,0.0005720003,0.00010048,0.03854902,0.00002660983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945816,0.0008723387,0.0006050298,0.002032729,0.0000199595,0.0003539059,0.00856822,0.00006123652,0.04167049],"genre_scores_gemma":[0.9762142,0.00106834,0.001358686,0.0005628436,0.000009295677,0.0001809646,0.002930162,0.0000286901,0.01764684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02981562,"threshold_uncertainty_score":0.2163284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009982383803717198,"score_gpt":0.1870124078861966,"score_spread":0.1770300240824794,"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."}}