{"id":"W2093815754","doi":"10.1097/01.ede.0000158824.32488.d6","title":"Mobile Phone Use and Acoustic Neuromas","year":2005,"lang":"en","type":"article","venue":"Epidemiology","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Institute for Clinical Evaluative Sciences","keywords":"Laterality; Mobile phone; Odds; Phone; Disadvantage; Computer science; Odds ratio; Population; Statistics; Psychology; Cognitive psychology; Mathematics; Demography; Artificial intelligence; Machine learning; Linguistics; Sociology; Logistic regression; Developmental psychology; Telecommunications; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005918751,0.000825326,0.001327635,0.001185057,0.001499168,0.001779093,0.002579075,0.0207183,0.009832302],"category_scores_gemma":[0.03894936,0.0005916505,0.001445509,0.0008611821,0.001629594,0.0033634,0.001720125,0.01643776,0.005116979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237515,"about_ca_system_score_gemma":0.002181173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483415,"about_ca_topic_score_gemma":0.004761475,"domain_scores_codex":[0.9973947,0.0008725008,0.0004611532,0.0004068178,0.0006383702,0.0002263776],"domain_scores_gemma":[0.9784253,0.01258052,0.001604793,0.0006584016,0.005473983,0.001256897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005602906,0.0000239217,0.002137031,0.0001306094,0.00003341704,0.0002566378,0.0000957905,0.00003507309,0.00006492701,0.0006502079,0.9851674,0.01134894],"study_design_scores_gemma":[0.0001765207,0.0002427125,0.01225534,0.001532011,0.0002352567,0.00578774,0.001795845,0.000606475,0.0005643682,0.008880591,0.9676949,0.0002281763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003510216,0.003239676,0.0001004553,0.9526225,0.04303807,0.00001062294,0.0001286445,0.0000303469,0.0004787124],"genre_scores_gemma":[0.005067827,0.005123082,0.0005378865,0.8826187,0.1028675,0.00006673279,0.0001280387,0.00002839182,0.003561768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0207183,"threshold_uncertainty_score":0.03289229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222913009002154,"score_gpt":0.2790141086582675,"score_spread":0.2567228077580521,"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."}}