{"id":"W4397018322","doi":"10.1515/9782763725840-016","title":"Les îlots de chaleur : portrait de Montréal et Toronto ainsi que les développements futurs","year":2015,"lang":"fr","type":"book-chapter","venue":"","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003833345,0.001136778,0.000337212,0.002078519,0.01773393,0.007003657,0.001335642,0.001636631,0.01995056],"category_scores_gemma":[0.0008242869,0.0006254629,0.0003969863,0.006469104,0.009230653,0.001714759,0.00286392,0.002866213,0.001181855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.10783,"about_ca_system_score_gemma":0.06871803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889117,"about_ca_topic_score_gemma":0.9973763,"domain_scores_codex":[0.9992445,0.0001142915,0.00001445793,0.00009716472,0.0001514965,0.0003782158],"domain_scores_gemma":[0.9996601,0.00004500624,0.00004125521,0.00001437147,0.0000813304,0.0001579829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001384175,0.00003327972,0.005722774,0.0003096385,0.00003153518,0.00144781,0.1776291,0.001029153,0.0008903741,0.6215729,0.1315729,0.05962223],"study_design_scores_gemma":[0.00001268041,0.00001774734,0.02421189,0.0002134296,0.00002062914,0.0001438247,0.03773842,0.0001394345,0.0002810867,0.004664801,0.9325125,0.00004361062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09274022,0.04662219,0.00192842,0.02554324,0.0009548091,0.0001468038,0.002192703,0.0001396921,0.8297319],"genre_scores_gemma":[0.4788221,0.01505559,0.001447666,0.00107969,0.0001675156,0.00009616392,0.000354779,0.0001438131,0.5028327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.10783,"threshold_uncertainty_score":0.7823652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322561721880815,"score_gpt":0.3175842622936166,"score_spread":0.1853280901055352,"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."}}