{"id":"W2478075976","doi":"10.7202/1028408ar","title":"La bibliothèque publique et le milieu municipal","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[0.005833348,0.0002532107,0.0005903682,0.007919391,0.007754591,0.009989204,0.000734526,0.0007712033,0.01597843],"category_scores_gemma":[0.02424874,0.000282072,0.0002915885,0.019909,0.004395082,0.002161084,0.003615728,0.001082999,0.0009009053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03357414,"about_ca_system_score_gemma":0.04117139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7038865,"about_ca_topic_score_gemma":0.8208705,"domain_scores_codex":[0.9921611,0.002388143,0.0003585961,0.0004173614,0.003596065,0.00107879],"domain_scores_gemma":[0.9684521,0.008636033,0.00838166,0.00159681,0.01055344,0.002379864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002372314,0.0002080561,0.4138356,0.001368486,0.0002532585,0.0008289775,0.1985994,0.000948752,0.001680317,0.08793055,0.02347895,0.2706306],"study_design_scores_gemma":[0.00001963519,0.00007123486,0.7301644,0.0004729166,0.00005303246,0.0001166962,0.05945987,0.0002677565,0.0003762905,0.001640597,0.2072993,0.00005830345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7598417,0.005758407,0.001779993,0.01424786,0.0001824435,0.0002129344,0.00142177,0.0001105409,0.2164444],"genre_scores_gemma":[0.9650324,0.002333105,0.0007116268,0.000426483,0.00009680325,0.00009898836,0.0002760844,0.00002233544,0.03100215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900108,"threshold_uncertainty_score":0.5957147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05355368354750392,"score_gpt":0.3834031047030183,"score_spread":0.3298494211555144,"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."}}