{"id":"W4400683006","doi":"10.3917/i2d.241.0107","title":"Les métiers de l’information de demain : Cinq défis à relever","year":2024,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Art","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007085335,0.0004455959,0.0004315996,0.0005225193,0.001326808,0.000908504,0.0004073298,0.001123633,0.004106581],"category_scores_gemma":[0.001506886,0.0004403759,0.0001930817,0.0007348471,0.0001116387,0.02233993,0.000180916,0.001800204,0.01166992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597274,"about_ca_system_score_gemma":0.00206766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148365,"about_ca_topic_score_gemma":0.0004645775,"domain_scores_codex":[0.9929681,0.002209313,0.00230882,0.0002254677,0.0008214714,0.001466826],"domain_scores_gemma":[0.9961845,0.001393003,0.000905278,0.0004783032,0.0003908792,0.0006480072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001171822,0.00003800288,0.006350204,0.0119077,0.0002353584,0.00001525817,0.1209104,0.000293123,0.000006762386,0.07291029,0.3314431,0.4557727],"study_design_scores_gemma":[0.0006674338,0.0001202711,0.005255957,0.003119036,0.000103614,0.00006772424,0.02089812,0.007868003,0.00002728508,0.002071789,0.9593945,0.0004062261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2005006,0.02432461,0.08445986,0.2526772,0.03919508,0.008280179,0.001812296,0.002061413,0.3866887],"genre_scores_gemma":[0.9431387,0.01021343,0.006380593,0.01402015,0.001696687,0.0005627524,0.0008041241,0.00008250889,0.02310106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7426381,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05960858049753504,"score_gpt":0.4242300328597,"score_spread":0.364621452362165,"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."}}