{"id":"W3044143916","doi":"10.37053/lameteorologie-2020-0022","title":"Comment Joël Noilhan a influencé la modélisation et les études en climat urbain","year":2020,"lang":"fr","type":"article","venue":"La Météorologie","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009215293,0.0002820249,0.0002574855,0.00003073507,0.0001350658,0.0001138572,0.0003682583,0.0004172084,0.001281247],"category_scores_gemma":[0.0004295351,0.0002782072,0.00009983812,0.0002092824,0.0004038612,0.0004719081,0.0003725004,0.0005092414,0.001026299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306329,"about_ca_system_score_gemma":0.00004668045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008580191,"about_ca_topic_score_gemma":0.0002534768,"domain_scores_codex":[0.9970294,0.00129901,0.0003645765,0.0004928788,0.0003574775,0.0004566913],"domain_scores_gemma":[0.9984678,0.0009142766,0.0001222057,0.00027177,0.00001268116,0.0002112341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000328763,0.0009843074,0.4218333,0.0004054237,0.0001865581,0.000305536,0.02720435,0.03791782,0.04148254,0.2822132,0.09297302,0.09416514],"study_design_scores_gemma":[0.001545285,0.0007992275,0.2022745,0.0001231585,0.0001463019,0.00003908912,0.0009246553,0.02928833,0.004226992,0.006186499,0.7537143,0.0007317279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130276,0.002452024,0.005146466,0.3385241,0.0003904527,0.0007908868,0.0001566752,0.0002989242,0.03921287],"genre_scores_gemma":[0.982395,0.000818529,0.003086065,0.01288432,0.000140319,0.00005596543,0.00005468335,0.00003188081,0.000533259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6607412,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532798556495604,"score_gpt":0.2829061468144282,"score_spread":0.2275781612494722,"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."}}