{"id":"W108820792","doi":"10.7202/1030083ar","title":"Le Réseau BIBLIO du Québec : 20 ans d’actions concertées au profit des communautés québécoises","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00329007,0.0006152845,0.0003839631,0.002065361,0.01739473,0.006555222,0.001434571,0.002261832,0.01552035],"category_scores_gemma":[0.00446172,0.0003868687,0.0003274172,0.003753678,0.005332264,0.001853329,0.003314538,0.003129485,0.001114429],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.126149,"about_ca_system_score_gemma":0.2353869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923063,"about_ca_topic_score_gemma":0.9960426,"domain_scores_codex":[0.9959941,0.0006717751,0.00009324473,0.000329491,0.00168844,0.00122294],"domain_scores_gemma":[0.9912376,0.0004689872,0.0003205434,0.0001951504,0.004389321,0.003388364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003333923,0.0002902098,0.04791807,0.0008153003,0.000117068,0.001416046,0.09304397,0.001652579,0.004119397,0.1562435,0.3692713,0.3247791],"study_design_scores_gemma":[0.00001485407,0.00004052481,0.04966246,0.0003378458,0.00001667637,0.00007257184,0.01940128,0.0002490465,0.0003166807,0.0008596502,0.9289768,0.00005167083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2357412,0.04355128,0.005128938,0.187781,0.003873776,0.0005323223,0.002438015,0.0004231438,0.5205302],"genre_scores_gemma":[0.5405793,0.0114458,0.003741927,0.009028752,0.0002473177,0.0002165658,0.0008091744,0.0001716333,0.4337595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9934448,"threshold_uncertainty_score":0.9152794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08915341759657804,"score_gpt":0.3780779314005291,"score_spread":0.2889245138039511,"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."}}