{"id":"W7061950819","doi":"","title":"Série d’indicateurs du bassin du lac Winnipeg","year":2018,"lang":"fr","type":"report","venue":"Mspace (University of Manitoba)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Water tanks; Fish <Actinopterygii>","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":[0.0003176593,0.0005129997,0.000254871,0.001949115,0.0008529168,0.001345811,0.0003177447,0.0002131865,0.002287308],"category_scores_gemma":[0.0009328493,0.0001591439,0.0002218126,0.00244466,0.00038421,0.0003021167,0.0006198392,0.0001985992,0.0002560626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628899,"about_ca_system_score_gemma":0.002916658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7600306,"about_ca_topic_score_gemma":0.8725843,"domain_scores_codex":[0.9996891,0.00002267546,0.00001738555,0.0000816732,0.0001328989,0.00005632122],"domain_scores_gemma":[0.9993072,0.00005889308,0.0001066939,0.00001656705,0.0004493323,0.00006135404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004325217,0.00002133771,0.8570958,0.0005696546,0.0002816812,0.0012953,0.006069381,0.001282989,0.04442116,0.001126256,0.003843209,0.08356075],"study_design_scores_gemma":[0.000004122406,0.00002108548,0.9721234,0.00006246182,0.00004682312,0.0001455018,0.002438745,0.0005977867,0.002727519,0.00003897241,0.02177639,0.00001726948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752075,0.002205851,0.002172266,0.0002317758,0.00004662534,0.00006746166,0.006260576,0.0001307322,0.01367722],"genre_scores_gemma":[0.9834183,0.001307795,0.004031583,0.00004255677,0.00001083123,0.00004143755,0.002081178,0.00005099367,0.009015435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2399694,"threshold_uncertainty_score":0.4827653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816350801051617,"score_gpt":0.1983413976968897,"score_spread":0.1801778896863735,"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."}}