{"id":"W7116077976","doi":"10.57745/5jwr06","title":"cut_in_smooth_CSM2_acoustic_autopower.h5","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001447616,0.007529236,0.002412618,0.005144719,0.001768232,0.003345801,0.005070497,0.005550996,0.0861904],"category_scores_gemma":[0.006990238,0.001364581,0.003119295,0.006013527,0.001050628,0.00226912,0.002581987,0.002732936,0.1849557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361219,"about_ca_system_score_gemma":0.004001108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05537326,"about_ca_topic_score_gemma":0.09729137,"domain_scores_codex":[0.9977503,0.0003164403,0.000164499,0.0007475263,0.0005974956,0.0004237299],"domain_scores_gemma":[0.9975535,0.0005967617,0.0001565766,0.0007338874,0.0007218758,0.0002373577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008420266,0.00003004214,0.0002917351,0.0004204417,0.00003210318,0.00001698277,0.00001280951,0.0003188762,0.0001409267,0.0001761275,0.9965738,0.001901943],"study_design_scores_gemma":[0.0008016583,0.00007396616,0.004072114,0.0003241165,0.00007897293,0.0001110969,0.0001431486,0.002090559,0.001649901,0.001801639,0.9887589,0.00009394121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002476253,0.0001127343,0.0001231443,0.00007359092,0.00006340437,0.00001796916,0.996259,0.002348998,0.0007535749],"genre_scores_gemma":[0.0003717699,0.00004178088,0.000464763,0.00003872707,0.00001135581,0.00004951798,0.9981108,0.0002147815,0.0006965739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9138096,"threshold_uncertainty_score":0.2883356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2743015636321313,"score_gpt":0.4543425773794435,"score_spread":0.1800410137473122,"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."}}