{"id":"W4285555748","doi":"10.4000/books.efa.13815","title":"Les palmarès datables avec précision","year":2021,"lang":"fr","type":"book-chapter","venue":"École française d’Athènes eBooks","topic":"Genetic and rare skin diseases.","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Computer science","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":[0.001079019,0.001367041,0.001240418,0.01103915,0.001207736,0.004503394,0.001440844,0.0007785596,0.3476084],"category_scores_gemma":[0.008477953,0.0007826777,0.0006339267,0.01592471,0.0004031985,0.003393057,0.002300421,0.001251441,0.350707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134543,"about_ca_system_score_gemma":0.002968156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497946,"about_ca_topic_score_gemma":0.01565262,"domain_scores_codex":[0.9981853,0.0001772909,0.0004012464,0.000437981,0.0006540376,0.0001441571],"domain_scores_gemma":[0.9962591,0.0006807736,0.0003610122,0.0009324433,0.001585627,0.0001810641],"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":[0.0002108267,0.00002848618,0.001128386,0.001215452,0.00002842528,0.0001272032,0.0001777094,0.0002806401,0.001032292,0.0069723,0.810152,0.1786462],"study_design_scores_gemma":[0.00001194832,0.000009192181,0.0009623775,0.0001698119,0.00001000949,0.0002121186,0.0000493681,0.0001146395,0.0007515668,0.001465472,0.9962299,0.00001349149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002705771,0.00861253,0.01423758,0.001210775,0.0008300548,0.0001951282,0.7761087,0.01675253,0.1793468],"genre_scores_gemma":[0.01371802,0.007735623,0.03107009,0.0006839302,0.0003650629,0.0005228714,0.7687886,0.007065519,0.1700503],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3476084,"threshold_uncertainty_score":0.9305574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786682414134038,"score_gpt":0.2382303257498045,"score_spread":0.2203635016084642,"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."}}