{"id":"W7084408162","doi":"10.57745/kjesge","title":"08.0001.2024.02.26.18.12.21.000.N.miniseed","year":2025,"lang":"fr","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01962901,0.005027669,0.005478314,0.001728786,0.00106348,0.001467222,0.0291075,0.01102826,0.02042586],"category_scores_gemma":[0.03048531,0.005871787,0.0009655796,0.008440662,0.002422458,0.003444176,0.01257315,0.02006206,0.1231692],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005004759,"about_ca_system_score_gemma":0.00644424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009124337,"about_ca_topic_score_gemma":0.004297225,"domain_scores_codex":[0.9648213,0.01198761,0.004640216,0.009691141,0.003533497,0.005326252],"domain_scores_gemma":[0.9492232,0.01132066,0.002866901,0.03375128,0.001076937,0.001760995],"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":[0.0007564852,0.002248074,0.0003247996,0.005273713,0.002075194,0.0007466135,0.0002554066,0.00006156118,0.0008788276,0.0001573901,0.9606364,0.02658554],"study_design_scores_gemma":[0.003205056,0.0002826171,0.0004746303,0.006651354,0.002851051,0.0001749119,0.0002351637,0.002545643,0.0005624164,0.000543013,0.9773461,0.005128094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004437672,0.0382202,0.0007451879,0.002907249,0.01183998,0.003891839,0.9308646,0.001514449,0.009972155],"genre_scores_gemma":[0.000006215523,0.02591778,0.02051479,0.003070667,0.003598998,0.0005436803,0.7971264,0.001070463,0.148151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1381789,"threshold_uncertainty_score":0.9995694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2815083541586039,"score_gpt":0.4186124426877602,"score_spread":0.1371040885291563,"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."}}