{"id":"W7116072312","doi":"10.57745/vda0yr","title":"cut_in_sharp_CSH2_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":[0.001205283,0.005578415,0.002022413,0.005172023,0.001524859,0.003193791,0.004045059,0.00469453,0.09911683],"category_scores_gemma":[0.006540709,0.001140447,0.00242105,0.006576388,0.000828441,0.002126248,0.002281345,0.002312711,0.198538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164931,"about_ca_system_score_gemma":0.003831375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05234843,"about_ca_topic_score_gemma":0.09057569,"domain_scores_codex":[0.9980909,0.0002677157,0.000149186,0.0006444358,0.0004790251,0.0003687174],"domain_scores_gemma":[0.9974043,0.0006419086,0.000203446,0.0007118578,0.0007802809,0.0002581479],"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":[0.00006746323,0.00002056261,0.0003711439,0.0004174397,0.00002497299,0.00001414723,0.00001256346,0.0002323978,0.000108276,0.0002061563,0.9970764,0.001448341],"study_design_scores_gemma":[0.0004716202,0.00004215502,0.004024129,0.000278622,0.00005185572,0.00006734972,0.0001177815,0.0008489096,0.0009051369,0.001316515,0.9918141,0.00006185771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001273192,0.00006950863,0.00006140672,0.0000501449,0.00003372984,0.000008771406,0.9981602,0.0008961355,0.0005928254],"genre_scores_gemma":[0.0002780368,0.00003698298,0.0002768858,0.00003414272,0.000008607295,0.00003376777,0.9985635,0.000133942,0.0006342607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9008832,"threshold_uncertainty_score":0.3315789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3046480707556343,"score_gpt":0.4607520070849444,"score_spread":0.1561039363293101,"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."}}