{"id":"W7038350272","doi":"","title":"Identification et quantification des bioaérosols urbains selon des gradients socio-économiques, de végétation et de temps","year":2024,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université du Québec à Montréal","keywords":"Homogeneous; Ethnic composition; Urban environment","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000388158,0.0004420149,0.0004112265,0.001056792,0.0007860984,0.001300781,0.0003246218,0.0004331306,0.001206023],"category_scores_gemma":[0.0005049757,0.0002498678,0.000272165,0.001226697,0.0004158518,0.0002485844,0.000351133,0.0002207547,0.0003505278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106799,"about_ca_system_score_gemma":0.001129106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.313281,"about_ca_topic_score_gemma":0.5262334,"domain_scores_codex":[0.9994444,0.00006165518,0.00001975642,0.0001878747,0.0001662193,0.0001200659],"domain_scores_gemma":[0.9996248,0.0000392736,0.00008139767,0.00001826148,0.0001981824,0.0000380213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526168,0.00006650226,0.7498847,0.0001857306,0.0001458609,0.0001044373,0.001361267,0.0003751794,0.2241158,0.0001685577,0.0001744216,0.02326497],"study_design_scores_gemma":[0.000002083915,0.00007080658,0.9890103,0.000014188,0.00002519443,0.00005332145,0.0006793566,0.0004960668,0.00837463,0.00002311751,0.001243339,0.000007729199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992683,0.0007322963,0.003558548,0.00004080767,0.000007690111,0.00007130959,0.001094881,0.00005236471,0.001759136],"genre_scores_gemma":[0.9896868,0.0004212983,0.006483165,0.00004320158,0.000003577654,0.00006529362,0.0008225803,0.00001341328,0.002460653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.313281,"threshold_uncertainty_score":0.622915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580542340755445,"score_gpt":0.2470123006170624,"score_spread":0.231206877209508,"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."}}