{"id":"W3087654566","doi":"10.1186/s12889-020-09535-2","title":"Development and validation of a behavioral index for adaptation to lyme disease","year":2020,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal; Institut National de Santé Publique du Québec; Université Laval","funders":"Institut National de Santé Publique du Québec","keywords":"Lyme disease; Theory of planned behavior; Medicine; Public health; Risk perception; Population; Biostatistics; Index (typography); Environmental health; Gerontology; Perception; Psychology; Control (management); Nursing; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008869959,0.0005405711,0.0004424424,0.002094236,0.0005845295,0.001116893,0.0007368118,0.000432555,0.001481643],"category_scores_gemma":[0.01477429,0.0001913446,0.0009132896,0.001231208,0.0004558722,0.0006186208,0.0007817168,0.0008710349,0.0003610525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888598,"about_ca_system_score_gemma":0.002984077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388267,"about_ca_topic_score_gemma":0.02003154,"domain_scores_codex":[0.9972899,0.0009713539,0.0003182628,0.000226319,0.001033351,0.0001608549],"domain_scores_gemma":[0.9867093,0.00457522,0.00166453,0.0007779906,0.005578241,0.0006946535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993214,0.00118774,0.9119043,0.0001311537,0.000152317,0.00003707951,0.001277052,0.0008546742,0.001361253,0.0003815251,0.001149503,0.08136406],"study_design_scores_gemma":[0.00004580072,0.001122341,0.9880766,0.00006321957,0.00006970501,0.00004402122,0.0007416615,0.00620233,0.0009956921,0.0001915758,0.002428093,0.00001897188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.975284,0.000126994,0.01155216,0.00018695,0.00007767295,0.00368849,0.001374885,0.0001409037,0.007567905],"genre_scores_gemma":[0.951935,0.0001645472,0.04032705,0.00007775588,0.00002579313,0.003933596,0.002214997,0.00002536667,0.001295929],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01388267,"threshold_uncertainty_score":0.04690939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.083076622558765,"score_gpt":0.3236141848739895,"score_spread":0.2405375623152245,"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."}}