{"id":"W2471824286","doi":"10.7202/1028128ar","title":"Télécommunications et mémoires optiques dans la documentation internationale","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006888565,0.001128226,0.0008327093,0.006278235,0.002847585,0.01580067,0.001296321,0.003265271,0.05888483],"category_scores_gemma":[0.01560433,0.0008263481,0.00108869,0.008985789,0.005577415,0.01281753,0.003615951,0.004841443,0.01733249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00618348,"about_ca_system_score_gemma":0.007122092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031318,"about_ca_topic_score_gemma":0.007731216,"domain_scores_codex":[0.9904087,0.00344637,0.0009600261,0.001420347,0.003265907,0.0004987056],"domain_scores_gemma":[0.9864532,0.005519852,0.001028489,0.002478109,0.00398543,0.0005349789],"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":[0.0001024508,0.00005203183,0.001121363,0.001493569,0.0000492971,0.0003514472,0.003234397,0.001049925,0.004270218,0.6468381,0.1047773,0.2366598],"study_design_scores_gemma":[0.000009407796,0.00002210015,0.0006595239,0.0005660505,0.00001866918,0.0004992535,0.0006008322,0.00065259,0.001291504,0.03717344,0.958474,0.00003251906],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01133681,0.106659,0.2126294,0.04366579,0.01925939,0.0003738351,0.003172741,0.002532245,0.6003707],"genre_scores_gemma":[0.1192295,0.1076508,0.1652756,0.008942327,0.009817203,0.0007832145,0.004682743,0.00227274,0.5813459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841993,"threshold_uncertainty_score":0.1969894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691227247224425,"score_gpt":0.3590167533013127,"score_spread":0.2898940285788701,"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."}}