{"id":"W1554003811","doi":"10.7202/1007628ar","title":"Influence de la densité animale sur la concentration des coliformes fécaux dans les cours d’eau du Québec méridional, Canada","year":2012,"lang":"fr","type":"article","venue":"Revue des sciences de l eau","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Physics; Geography; Humanities; Art","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":[0.000337328,0.0003835246,0.0003114123,0.0006496502,0.001131064,0.001009415,0.0004249267,0.0002834377,0.002181499],"category_scores_gemma":[0.0008105924,0.0002485944,0.0002862836,0.001007285,0.000468797,0.0001965464,0.0002884128,0.0004052685,0.0001962474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294817,"about_ca_system_score_gemma":0.008676646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907053,"about_ca_topic_score_gemma":0.9956671,"domain_scores_codex":[0.9996129,0.00004318092,0.00001046154,0.00009011545,0.0001413649,0.0001020394],"domain_scores_gemma":[0.9984767,0.0001821861,0.0001643039,0.00002878921,0.0009174939,0.0002306154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006310734,0.00008354272,0.9579766,0.00009054365,0.000180672,0.0001952409,0.001746763,0.001758699,0.02237576,0.0001562508,0.001055479,0.01374931],"study_design_scores_gemma":[0.000002577516,0.00004115915,0.9971986,0.00001043658,0.00001886363,0.00001132347,0.0004999419,0.0004615825,0.0007304316,0.000007486909,0.001010822,0.00000679427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995342,0.0004313673,0.0003525698,0.0001109201,0.000007750913,0.00002051717,0.001136976,0.00001738409,0.002580471],"genre_scores_gemma":[0.9904031,0.0003840901,0.0005915373,0.00007245728,0.000002592134,0.00001666055,0.001001349,0.00001198592,0.007516173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294817,"threshold_uncertainty_score":0.09394598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03697250146354178,"score_gpt":0.2743584761607269,"score_spread":0.2373859746971852,"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."}}