{"id":"W7133272243","doi":"","title":"Mise à jour de l'évaluation du potentiel de rétablissement du sucet de lac (Erimyzon sucetta) au Canada","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":true,"ca_institutions":"","funders":"","keywords":"Population; Ile de france; Population projection; Population structure","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":[0.001218081,0.0004328239,0.0004847488,0.0003185272,0.0006984933,0.001102069,0.0007657424,0.0004125727,0.001103295],"category_scores_gemma":[0.001287686,0.0001798431,0.000598117,0.0003749756,0.0003895931,0.0004268867,0.000336077,0.0003980059,0.0001180168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009469043,"about_ca_system_score_gemma":0.005817077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6860781,"about_ca_topic_score_gemma":0.7949213,"domain_scores_codex":[0.9995695,0.00007828473,0.000014331,0.00006865937,0.0001997274,0.00006955979],"domain_scores_gemma":[0.9991308,0.0001684512,0.00006342973,0.0000308576,0.0005355129,0.00007098924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001240268,0.0002533918,0.2588237,0.0007678538,0.0005652363,0.0008064825,0.001049969,0.3375134,0.2140596,0.002833509,0.002060873,0.1800258],"study_design_scores_gemma":[0.0001512441,0.004865239,0.4925621,0.0002191442,0.0009710495,0.0003601354,0.003205401,0.3209042,0.1470395,0.001373725,0.02810917,0.0002391421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864166,0.0008671499,0.007460767,0.0003308999,0.0000155532,0.00008803122,0.0002653495,0.00009132984,0.004464342],"genre_scores_gemma":[0.9894048,0.000691696,0.005684412,0.00005981787,0.000002812056,0.00002912372,0.0002189076,0.00001308886,0.003895286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3139219,"threshold_uncertainty_score":0.6315413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338022261647231,"score_gpt":0.2384393477783757,"score_spread":0.2250591251619034,"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."}}