{"id":"W7009597457","doi":"","title":"Enjeux et dynamiques de la mise en œuvre de stratégies d’adaptation aux changements climatiques en milieu urbain : les cas de Montréal et Paris","year":2011,"lang":"fr","type":"other","venue":"theses.fr (ABES)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Vulnerability (computing); Urban environment; Climate change","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":[0.003745376,0.0004420376,0.0003639218,0.001880016,0.003469027,0.007983609,0.001398096,0.00143339,0.006463866],"category_scores_gemma":[0.00737419,0.0003617274,0.0003693829,0.003109786,0.006756208,0.002418317,0.002154559,0.001147913,0.0003655186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02393474,"about_ca_system_score_gemma":0.01623518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6720815,"about_ca_topic_score_gemma":0.7272891,"domain_scores_codex":[0.9978388,0.0009252526,0.00004878136,0.0002524651,0.0003687557,0.0005660111],"domain_scores_gemma":[0.9968322,0.001175742,0.0004806586,0.000193884,0.0007177574,0.000599814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003216317,0.0001964121,0.2628797,0.0004462701,0.0003385752,0.001252551,0.1230586,0.01857559,0.001673153,0.3963677,0.02346268,0.1714271],"study_design_scores_gemma":[0.0000940155,0.0001201692,0.6120922,0.0004367332,0.0001728277,0.0004424329,0.1382276,0.01767354,0.001124488,0.06322487,0.1662093,0.0001818415],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121505,0.006708791,0.008236185,0.03689433,0.0001337098,0.0001226452,0.001125679,0.0001717805,0.1344563],"genre_scores_gemma":[0.9910471,0.0009157634,0.001005327,0.0001167045,0.00002244593,0.00002495009,0.00006711607,0.00002827378,0.006772283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3279185,"threshold_uncertainty_score":0.6596994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123149662486057,"score_gpt":0.3083726427393376,"score_spread":0.257141146114477,"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."}}