{"id":"W7084116972","doi":"10.64628/aak.5qmq4yy3g","title":"Pour en finir avec le « numérique »","year":2019,"lang":"fr","type":"article","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"","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":[0.004821125,0.00175274,0.001686462,0.002854002,0.003310437,0.01149718,0.001794151,0.005004504,0.044171],"category_scores_gemma":[0.02885654,0.0005428689,0.00190474,0.002424387,0.006999015,0.01172526,0.003676599,0.01093474,0.01159338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004382657,"about_ca_system_score_gemma":0.003179819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567311,"about_ca_topic_score_gemma":0.01794717,"domain_scores_codex":[0.9935103,0.002397346,0.0004411339,0.000865228,0.002507189,0.0002788175],"domain_scores_gemma":[0.991582,0.004433823,0.0005207284,0.001348809,0.001706031,0.0004085753],"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":[0.0001409062,0.00005983364,0.001691611,0.0004064669,0.00007786234,0.0002285295,0.0009522999,0.001918785,0.001243456,0.8716462,0.04225826,0.07937581],"study_design_scores_gemma":[0.0000747395,0.00006776704,0.003422173,0.0003361928,0.00003428226,0.0009833007,0.0006609008,0.003403494,0.001004444,0.1806606,0.8092714,0.00008070069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02271437,0.01914852,0.2341907,0.208507,0.04857021,0.0001814736,0.002254582,0.002069414,0.4623637],"genre_scores_gemma":[0.3344103,0.01841796,0.1848571,0.01925186,0.04940769,0.0009581989,0.001616813,0.002041215,0.3890389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.044171,"threshold_uncertainty_score":0.1477667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621452279993363,"score_gpt":0.2927356211736972,"score_spread":0.2565210983737635,"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."}}