{"id":"W7133281274","doi":"","title":"Évaluation nationale des risques liés aux espèces aquatiques envahissantes pour les moules zébrées et quagga, avril 2022","year":2024,"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":"Context (archaeology); Urban environment; Natural regeneration","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":[0.003471489,0.0004458153,0.000522832,0.00101554,0.0006222862,0.0009582667,0.000511562,0.0003891093,0.001637404],"category_scores_gemma":[0.003157137,0.0002653353,0.0007386738,0.001450987,0.0003108025,0.0004783057,0.000544268,0.0003622208,0.0003863885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005342676,"about_ca_system_score_gemma":0.006185573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5759814,"about_ca_topic_score_gemma":0.7599881,"domain_scores_codex":[0.9987209,0.0002357478,0.00006041906,0.0002833944,0.000542216,0.0001573605],"domain_scores_gemma":[0.9956246,0.0004831995,0.000391559,0.0001394812,0.003146795,0.0002143838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005681079,0.0001225588,0.9176422,0.0004668271,0.0006894981,0.000125022,0.0008543256,0.008762258,0.007419441,0.0005396449,0.003396811,0.05941328],"study_design_scores_gemma":[0.00002132783,0.0002865069,0.9830154,0.00007682095,0.0002393298,0.00004043122,0.0009119587,0.004298712,0.002569271,0.0001060008,0.008405954,0.00002829307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664715,0.002194105,0.004648715,0.0004151338,0.0000407859,0.0001556001,0.01471774,0.000186113,0.01117032],"genre_scores_gemma":[0.9642674,0.001340156,0.009172751,0.0001210179,0.00001139658,0.0002506506,0.01445137,0.00002975577,0.0103555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4240186,"threshold_uncertainty_score":0.8530315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465410892511153,"score_gpt":0.2944188526355483,"score_spread":0.2697647437104368,"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."}}