{"id":"W7133284626","doi":"","title":"Réduction des rejets de phosphore dans le Lac Winnipeg","year":2023,"lang":"fr","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Estuary; Hydrology (agriculture); Climate change; Nutrient; Groundwater","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":[0.0007029146,0.001022093,0.0008966215,0.001876558,0.0025802,0.001899385,0.0009982593,0.0007359388,0.009441278],"category_scores_gemma":[0.001082224,0.0004528698,0.0007730349,0.001092696,0.0006893871,0.000484064,0.000990733,0.0009751734,0.001687387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004368664,"about_ca_system_score_gemma":0.005387884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4450683,"about_ca_topic_score_gemma":0.5925469,"domain_scores_codex":[0.9987549,0.000041265,0.00002395251,0.0002480395,0.0006700997,0.0002618473],"domain_scores_gemma":[0.9996309,0.00002609424,0.00002195267,0.00003007895,0.0002491411,0.00004173659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003467169,0.0003837371,0.009973999,0.001475299,0.0004076408,0.002318336,0.003232896,0.01019956,0.7560789,0.007007717,0.01380179,0.191653],"study_design_scores_gemma":[0.0001979662,0.0007956856,0.03629757,0.0002143191,0.0004802657,0.0005246581,0.001943704,0.004539802,0.7245993,0.000584952,0.2297033,0.0001184601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996679,0.005473891,0.01154354,0.0006835897,0.0005884397,0.0005096197,0.002556819,0.001158031,0.07781817],"genre_scores_gemma":[0.7691164,0.002705528,0.01111819,0.0001872314,0.00003043746,0.0001107625,0.001404752,0.0008727081,0.214454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5549316,"threshold_uncertainty_score":0.8849555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072188587614893,"score_gpt":0.2322646718703088,"score_spread":0.2215427859941599,"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."}}