{"id":"W2949702704","doi":"10.4000/books.pum.11867","title":"Chapitre 1. L’espace public comme fabricant de liens","year":2017,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005915733,0.0005985093,0.0003267462,0.001466278,0.003621844,0.00738649,0.0006824915,0.002113101,0.04018951],"category_scores_gemma":[0.001333695,0.0003008096,0.0004211702,0.002052047,0.004570416,0.005115855,0.002153419,0.00346215,0.008750333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309468,"about_ca_system_score_gemma":0.00282954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664076,"about_ca_topic_score_gemma":0.01471383,"domain_scores_codex":[0.9992499,0.000262432,0.00002639869,0.0001206635,0.0002368502,0.0001037813],"domain_scores_gemma":[0.9994266,0.0002609071,0.00004154647,0.00005523875,0.0001633406,0.00005231885],"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":[0.00001269874,0.00001984767,0.0002721233,0.0002517594,0.000003133578,0.0001516047,0.005682395,0.0001917249,0.0003525718,0.9294512,0.04189217,0.02171882],"study_design_scores_gemma":[0.000002537717,0.00001043433,0.0008121136,0.0007324136,0.000003016092,0.000199911,0.003294031,0.0001045601,0.0002190983,0.07127802,0.9233359,0.000007986488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006446858,0.01952638,0.008509728,0.01193769,0.001599513,0.0001221979,0.0008319702,0.00008665468,0.9509391],"genre_scores_gemma":[0.2248494,0.04970511,0.00971308,0.006951303,0.004279659,0.0003904322,0.002519418,0.0003294012,0.7012622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04018951,"threshold_uncertainty_score":0.1344473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317016331135411,"score_gpt":0.2159030167085109,"score_spread":0.1727328533971568,"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."}}