{"id":"W2915475390","doi":"10.7202/1055164ar","title":"La planification nationale des services 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":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01779275,0.0005477371,0.0006032368,0.006500804,0.004613306,0.01562345,0.001918307,0.003041394,0.02579671],"category_scores_gemma":[0.0310467,0.000698682,0.0007629239,0.009569016,0.003741654,0.01451668,0.005292797,0.003855589,0.007842517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02005679,"about_ca_system_score_gemma":0.060411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0852883,"about_ca_topic_score_gemma":0.06460951,"domain_scores_codex":[0.9843618,0.004849039,0.001481082,0.001462678,0.006493399,0.001351969],"domain_scores_gemma":[0.9601154,0.009499446,0.002807375,0.008581858,0.01615024,0.002845749],"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":[0.00008157482,0.0001021089,0.005815231,0.0005938343,0.00003465865,0.0001428437,0.005476991,0.001991247,0.001623097,0.6829432,0.06388634,0.2373089],"study_design_scores_gemma":[0.00001642213,0.00003542893,0.004937578,0.0006416432,0.00001283402,0.0001458608,0.002229575,0.001100368,0.001089143,0.02591139,0.9638432,0.00003644379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03588809,0.009461643,0.09149543,0.06159372,0.001080735,0.0007127731,0.003520066,0.002512543,0.793735],"genre_scores_gemma":[0.3760315,0.01663752,0.2398735,0.006507897,0.0009278893,0.001666207,0.007635245,0.001716088,0.3490042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0852883,"threshold_uncertainty_score":0.1695837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06825234839054795,"score_gpt":0.3450133367073764,"score_spread":0.2767609883168284,"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."}}