{"id":"W6955212738","doi":"10.58079/p79c","title":"Réguler, juger et réhabiliter","year":2023,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Context (archaeology); Intrusion; Countdown","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007769341,0.0005672243,0.0006351725,0.0008919648,0.0002682397,0.0003539004,0.0004869011,0.0008092943,0.002044065],"category_scores_gemma":[0.0004668745,0.0005850763,0.0006514069,0.004360654,0.0006386036,0.001666657,0.0002507882,0.001427517,0.003061353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790432,"about_ca_system_score_gemma":0.000508532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005113141,"about_ca_topic_score_gemma":0.00002647954,"domain_scores_codex":[0.9962816,0.0002862551,0.0004301325,0.0007908153,0.0006453433,0.001565916],"domain_scores_gemma":[0.997626,0.0004437237,0.0001843473,0.0006234057,0.0002515049,0.0008709969],"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":[0.0002696481,0.0005109756,0.01264182,0.0003168213,0.000895359,0.003506518,0.003972375,0.0001760553,0.003266252,0.02791875,0.7417907,0.2047347],"study_design_scores_gemma":[0.003934766,0.0003615773,0.2919838,0.001618447,0.0005493241,0.0009703904,0.008155714,0.0007449544,0.0006086783,0.0007399266,0.6895019,0.0008305134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2826146,0.003783657,0.000279009,0.3217448,0.005582909,0.001218654,0.0009930643,0.00137916,0.3824041],"genre_scores_gemma":[0.7183236,0.0003945622,0.00023738,0.002754497,0.001496802,0.00001644816,0.0005216572,0.0001037811,0.2761513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.435709,"threshold_uncertainty_score":0.9996601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996463641101805,"score_gpt":0.2723422280134412,"score_spread":0.2423775916024231,"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."}}