{"id":"W7055408092","doi":"","title":"Ãcologie moléculaire et phylogéographie des ciscos d'Amérique du Nord (Teleostei: Coregonus spp.)","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coregonus; Population; Statistical analysis; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001490703,0.0006676043,0.0006522242,0.00008389278,0.0002766876,0.00006332879,0.0005571491,0.0001793594,0.001962385],"category_scores_gemma":[0.000003632919,0.0006869453,0.0001214181,0.0002572103,0.0003917466,0.0002832611,0.0001519959,0.0004589616,1.405357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003173633,"about_ca_system_score_gemma":0.001729058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01015614,"about_ca_topic_score_gemma":0.1907459,"domain_scores_codex":[0.9969791,0.0001268634,0.0005297344,0.0005496463,0.001115768,0.0006989352],"domain_scores_gemma":[0.9983442,0.0003952407,0.0002042522,0.0005091456,9.628498e-7,0.0005461369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009687128,0.0005936108,0.04675156,0.005160176,0.002649339,0.002428146,0.0009220344,0.01424711,0.05382463,0.4191314,0.232175,0.2211483],"study_design_scores_gemma":[0.0008573919,0.0001672196,0.0489679,0.0008429415,0.000166252,0.00006486378,0.0006812083,0.003889692,0.02905004,0.003774133,0.9102283,0.001310121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02314663,0.002858476,0.0008370898,0.004641313,0.0003710899,0.0007313445,0.001672712,0.00008462887,0.9656567],"genre_scores_gemma":[0.6363378,0.009036236,0.006507165,0.002216371,0.0003879908,0.0001577568,0.0001478171,0.0003876163,0.3448213],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6780533,"threshold_uncertainty_score":0.9995582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004732275014146516,"score_gpt":0.144731331888017,"score_spread":0.1399990568738704,"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."}}