{"id":"W7133286142","doi":"","title":"Étendue des milieux humides au Canada","year":2016,"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":"Permission; Statistical analysis; Inheritance (genetic algorithm); Population","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":[0.000476188,0.000603971,0.0004490739,0.001957117,0.00770485,0.004323015,0.0007141896,0.0005327559,0.0158086],"category_scores_gemma":[0.001004176,0.0001864159,0.0003113743,0.004611785,0.001669804,0.0006437138,0.001417334,0.0007767181,0.001466951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01673619,"about_ca_system_score_gemma":0.03780723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9705025,"about_ca_topic_score_gemma":0.9851854,"domain_scores_codex":[0.9991006,0.00004342156,0.00001850432,0.0001324828,0.0004639396,0.0002412097],"domain_scores_gemma":[0.9991567,0.000088045,0.00007341633,0.00003580634,0.0004617949,0.0001843192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001187269,0.0002130786,0.1514805,0.002656843,0.0002363899,0.007438968,0.04711161,0.001721121,0.05238294,0.02739403,0.127657,0.5805203],"study_design_scores_gemma":[0.00002854188,0.00007420135,0.2543478,0.0004411457,0.00007460125,0.000478982,0.02446937,0.0003895533,0.005888857,0.0006952044,0.7130461,0.00006558008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4896949,0.03162938,0.003215757,0.00785676,0.001519599,0.0004560905,0.01480255,0.0009077729,0.4499172],"genre_scores_gemma":[0.7382126,0.02008015,0.005331858,0.001696246,0.0002973402,0.0001158692,0.002738943,0.0002787136,0.2312482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0294975,"threshold_uncertainty_score":0.1214301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009323405242306812,"score_gpt":0.2338250998515935,"score_spread":0.2245016946092867,"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."}}