{"id":"W7133269062","doi":"","title":"Éléments nutritifs dans le lac Winnipeg","year":2018,"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":true,"ca_institutions":"","funders":"","keywords":"Reproduction; Government (linguistics); Class (philosophy); Order (exchange)","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":[0.00027459,0.0004902563,0.0003199574,0.001906252,0.002569384,0.002720223,0.0006238706,0.0003426815,0.004085774],"category_scores_gemma":[0.0004680547,0.0002968026,0.0002847559,0.003045832,0.001091342,0.0003356594,0.001060084,0.0003479518,0.0005266955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01455143,"about_ca_system_score_gemma":0.01294586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9406476,"about_ca_topic_score_gemma":0.977641,"domain_scores_codex":[0.9997054,0.00002093275,0.00001208626,0.00007184747,0.0001004842,0.00008934496],"domain_scores_gemma":[0.9998502,0.00001302722,0.00002317998,0.000003478276,0.00007767889,0.00003253376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003713746,0.0001545309,0.4337728,0.002757651,0.0006478996,0.009209366,0.05793026,0.005046274,0.1461615,0.03177181,0.01119133,0.2976429],"study_design_scores_gemma":[0.00005332908,0.0001788627,0.6566394,0.0005038934,0.0001685986,0.0007121165,0.02221882,0.0007564286,0.009999452,0.001108109,0.3075958,0.00006519071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472591,0.006142747,0.001214842,0.0006266797,0.00009098031,0.0001072133,0.003516556,0.00006195413,0.04097985],"genre_scores_gemma":[0.9314092,0.003263669,0.002990776,0.0001964775,0.00001025239,0.00004649694,0.0008960897,0.0001002913,0.06108673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0593524,"threshold_uncertainty_score":0.1194038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008217904256640486,"score_gpt":0.2279201330866912,"score_spread":0.2197022288300507,"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."}}