{"id":"W7000425508","doi":"","title":"Évaluer le potentiel et les défis de la variation intraspécifique pour les réseaux neuronaux profonds de reconnaissance de chants d’oiseaux : l’exemple des bruants des prés (Passerculus sandwichensis) de l’île Kent, Nouveau-Brunswick","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Population; Variation (astronomy); Homogeneous","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":[0.0004867876,0.0005558899,0.0002717222,0.0007911726,0.0004804836,0.0007829492,0.0003760296,0.0006418399,0.002120563],"category_scores_gemma":[0.0009751758,0.0001831448,0.0003439198,0.000752299,0.0005037352,0.0004300942,0.0006061014,0.0003215917,0.000848151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007178471,"about_ca_system_score_gemma":0.0007342422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08766571,"about_ca_topic_score_gemma":0.2745386,"domain_scores_codex":[0.9996886,0.00002964015,0.00001459197,0.0001119786,0.00007213833,0.00008314037],"domain_scores_gemma":[0.9994404,0.0001772594,0.00004418402,0.00004470792,0.0002527461,0.00004076977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006383286,0.00004351557,0.09921243,0.0006676936,0.0002097267,0.001050471,0.002580364,0.005591541,0.6386746,0.0005615382,0.003378792,0.2473911],"study_design_scores_gemma":[0.00002725515,0.0003018204,0.8397741,0.0001554501,0.0003164665,0.001281498,0.005793669,0.04213674,0.09049957,0.000996519,0.01861472,0.0001022164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565292,0.001493557,0.02972222,0.0002802909,0.0001238592,0.00006677788,0.002578999,0.0006148181,0.008590235],"genre_scores_gemma":[0.9590201,0.0006498203,0.02441157,0.0001133008,0.00002043394,0.00008470297,0.002694094,0.0001573965,0.01284857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9123343,"threshold_uncertainty_score":0.1743109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847307848594292,"score_gpt":0.2450660222537868,"score_spread":0.2265929437678439,"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."}}