{"id":"W7008811822","doi":"","title":"Contaminant sources and sinks: summary of R &amp; D 1985 to 2002, South Bay","year":2018,"lang":"en","type":"report","venue":"Lu Zone Ul (Laurentian University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Tailings; Hydrology (agriculture); Dredging; Peninsula; Groundwater; Fishing","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":[0.0009722809,0.00127117,0.000588256,0.004483404,0.0006215909,0.002042111,0.00107525,0.0004544441,0.0198049],"category_scores_gemma":[0.001799889,0.0005387694,0.001172936,0.005660078,0.0002073826,0.00116442,0.0009341732,0.0004232583,0.009278045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790117,"about_ca_system_score_gemma":0.00250764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0866039,"about_ca_topic_score_gemma":0.1339232,"domain_scores_codex":[0.9991461,0.00003660128,0.0001056429,0.0002445097,0.0003698485,0.00009726593],"domain_scores_gemma":[0.9979254,0.0001656264,0.00051419,0.0001267116,0.001144533,0.0001234961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001417514,0.0001844933,0.4477504,0.006583852,0.0006814182,0.0004828437,0.0006015015,0.006968493,0.01391515,0.002049763,0.1274951,0.3918695],"study_design_scores_gemma":[0.00003029956,0.0001993016,0.6090391,0.0003943257,0.0004068254,0.0003124327,0.0005764597,0.0009694861,0.00848242,0.000210326,0.3793424,0.00003668003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.308254,0.03383014,0.008960773,0.001091059,0.0004121472,0.0006706181,0.4874101,0.00394721,0.155424],"genre_scores_gemma":[0.4580678,0.04080356,0.01404134,0.0007356004,0.0001587387,0.0005166661,0.242069,0.001348844,0.2422585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0866039,"threshold_uncertainty_score":0.1721997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962667317554881,"score_gpt":0.2244091893683864,"score_spread":0.2047825161928376,"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."}}