{"id":"W7045080483","doi":"","title":"Adaptation à la maladie de Lyme : comparaison des modes de collectes de données par téléphone et web","year":2021,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Web of science; Ile de france","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":[0.005482094,0.0004014129,0.0004864689,0.001686452,0.001174932,0.002727155,0.0009924916,0.0008005167,0.005022875],"category_scores_gemma":[0.02569797,0.0003331088,0.0007708678,0.003435361,0.001294471,0.001886449,0.001973666,0.001169011,0.0007585186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003728554,"about_ca_system_score_gemma":0.003848917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3253278,"about_ca_topic_score_gemma":0.3883468,"domain_scores_codex":[0.9945638,0.002417851,0.0002757654,0.0007989756,0.001123297,0.0008204023],"domain_scores_gemma":[0.9763249,0.009606636,0.005457137,0.001760979,0.005641903,0.001208482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001902042,0.00004533559,0.9591351,0.0001917093,0.0002192715,0.0002670549,0.01235403,0.000358706,0.0008568347,0.0005402046,0.0009108945,0.02493065],"study_design_scores_gemma":[0.000003037004,0.0000820986,0.9847711,0.00009902576,0.00005311858,0.0001297827,0.01096599,0.0004584631,0.0002456729,0.0001505399,0.003019466,0.00002169961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884861,0.000805037,0.002633222,0.001167393,0.0000394351,0.0001268162,0.002014449,0.00004088614,0.004686564],"genre_scores_gemma":[0.9933655,0.0006089448,0.001686403,0.0002598177,0.0000209265,0.0001266285,0.0007020994,0.00002179409,0.00320784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746722,"threshold_uncertainty_score":0.6468683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007761658295742,"score_gpt":0.2085531387157684,"score_spread":0.188475522132811,"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."}}