{"id":"W4396536404","doi":"10.1515/9782760634824-fm","title":"Front Matter","year":2015,"lang":"fr","type":"paratext","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000655323,0.001157531,0.000610298,0.001043749,0.003827742,0.005150482,0.001092617,0.003070445,0.7923341],"category_scores_gemma":[0.002129336,0.0002811551,0.0003790048,0.001219459,0.001205228,0.0008813626,0.001048706,0.001191954,0.3912191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009028168,"about_ca_system_score_gemma":0.01677438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8195707,"about_ca_topic_score_gemma":0.8422671,"domain_scores_codex":[0.9993179,0.00004256227,0.00001916643,0.0001285317,0.0002824667,0.0002094313],"domain_scores_gemma":[0.9981396,0.0002234484,0.00009063598,0.0001138698,0.0009190106,0.0005132984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006308482,0.00004724294,0.00214936,0.0001939206,0.00001109805,0.0001640749,0.0003234923,0.000163147,0.0005321714,0.006432045,0.8798899,0.1100305],"study_design_scores_gemma":[0.00001032046,0.000006745556,0.004404332,0.00009037521,0.000003195894,0.00004098222,0.0003105749,0.00008649971,0.00008198161,0.0001767734,0.9947829,0.000005321644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004174592,0.002558004,0.0003163818,0.007029984,0.00233488,0.00007110155,0.007009024,0.0005902697,0.9759158],"genre_scores_gemma":[0.006954173,0.0004932286,0.0001434898,0.0006015285,0.0001335728,0.00001654449,0.0008805997,0.00008260368,0.9906943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8195707,"threshold_uncertainty_score":0.3629838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442885325978758,"score_gpt":0.2191652248321826,"score_spread":0.194736371572395,"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."}}