{"id":"W2377065026","doi":"10.3917/i2d.161.0065","title":"Réduire l’empreinte carbone","year":2016,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Political science; Geography; Forestry; Philosophy","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":[0.00715872,0.0009264952,0.0007337029,0.004819088,0.004655428,0.01656152,0.002536706,0.003849861,0.049823],"category_scores_gemma":[0.02587668,0.0004768928,0.0007124912,0.007131416,0.00509649,0.01440039,0.003905361,0.00432051,0.01123226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007340345,"about_ca_system_score_gemma":0.00846799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05220451,"about_ca_topic_score_gemma":0.07546655,"domain_scores_codex":[0.9919569,0.002223308,0.0004180243,0.0013672,0.00352252,0.0005119328],"domain_scores_gemma":[0.9837152,0.004595023,0.001083822,0.002389648,0.007664177,0.0005521608],"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":[0.0001338679,0.0001028149,0.005271808,0.001554166,0.0001248785,0.0003737378,0.006839665,0.001236846,0.002711816,0.4718656,0.1975542,0.3122306],"study_design_scores_gemma":[0.00001453276,0.00001951634,0.002588228,0.0006625911,0.00002441641,0.0001488538,0.001423885,0.0003985342,0.001240576,0.02907407,0.9643592,0.00004559969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0200853,0.02753537,0.0367576,0.155603,0.010232,0.0002367964,0.002710549,0.00201172,0.7448276],"genre_scores_gemma":[0.5143847,0.0298458,0.06338556,0.02940651,0.006911353,0.0005574395,0.002894484,0.003010154,0.349604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05220451,"threshold_uncertainty_score":0.1666746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721823458844625,"score_gpt":0.2528868819400373,"score_spread":0.2256686473515911,"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."}}