{"id":"W2917570371","doi":"10.7202/1055224ar","title":"Vers une consolidation des services québécois d’information documentaire","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rationalisation; Political science; Humanities; Art; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.006218634,0.0005015355,0.0006256376,0.006963074,0.01290641,0.02306202,0.001929321,0.003028222,0.03695128],"category_scores_gemma":[0.0175741,0.0006147083,0.0005903066,0.01369935,0.00612548,0.01335915,0.005654075,0.0028507,0.005847069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04417039,"about_ca_system_score_gemma":0.06754921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6662776,"about_ca_topic_score_gemma":0.6848233,"domain_scores_codex":[0.9918926,0.002256388,0.0004017624,0.0006891792,0.003112636,0.001647438],"domain_scores_gemma":[0.9826398,0.002472512,0.001034922,0.002230958,0.008448571,0.003173284],"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":[0.0003560708,0.0003523264,0.01912473,0.0003921876,0.00006688075,0.001443785,0.04199071,0.00120708,0.002905058,0.4960648,0.06794973,0.3681467],"study_design_scores_gemma":[0.00005346058,0.00006704692,0.01755844,0.0005886185,0.00003152222,0.0003817321,0.02985741,0.001904613,0.001285339,0.01287424,0.9353465,0.00005106131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2605801,0.00924605,0.01665568,0.06893047,0.0008861529,0.0003666868,0.0008580571,0.001029472,0.6414474],"genre_scores_gemma":[0.7292239,0.003581807,0.01205602,0.002442968,0.0002612544,0.0001613021,0.001059674,0.0004389247,0.2507742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6662776,"threshold_uncertainty_score":0.6713755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05446927937880148,"score_gpt":0.3338076791900735,"score_spread":0.2793383998112721,"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."}}