{"id":"W2495185991","doi":"10.7202/1033348ar","title":"La mise en réseau local des ressources sur disque optique : un premier défrichage","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003144221,0.0004406251,0.0004211541,0.001082901,0.0002315184,0.00735871,0.001006404,0.000318285,0.000366809],"category_scores_gemma":[0.0002896086,0.0004415348,0.0001559663,0.003697126,0.0004074755,0.009664176,0.000317988,0.0004282247,0.000261637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004376219,"about_ca_system_score_gemma":0.0004456735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623202,"about_ca_topic_score_gemma":0.0002371011,"domain_scores_codex":[0.9942352,0.002887858,0.0007104213,0.0007317448,0.0007876596,0.0006471586],"domain_scores_gemma":[0.9970647,0.0009340987,0.0003609503,0.0005664388,0.0005730367,0.000500737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002315721,0.001607495,0.01757178,0.001481313,0.0006001171,0.0007905922,0.2953191,0.04742225,0.000365398,0.3052822,0.1567181,0.1726101],"study_design_scores_gemma":[0.002668615,0.0006273821,0.008481606,0.001409292,0.0001033807,0.0004159696,0.003291088,0.06656272,0.002727876,0.02973415,0.8827066,0.001271294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08768645,0.02843707,0.8486793,0.004574894,0.00168013,0.0005206923,0.00007353947,0.0004519671,0.02789598],"genre_scores_gemma":[0.9744601,0.003098585,0.01030277,0.0005417315,0.0003648289,0.0000509014,0.0001005843,0.00004465231,0.0110358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8867737,"threshold_uncertainty_score":0.9998037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844214981074616,"score_gpt":0.3180966109753218,"score_spread":0.2796544611645757,"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."}}