{"id":"W3181493438","doi":"10.2196/25422","title":"Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteoporosis; Public health; Medicine; Life expectancy; Demography; Gerontology; Population; Environmental health; Family medicine; Internal medicine; Pathology","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":[0.001345858,0.0002478252,0.0006142895,0.009925373,0.0004051869,0.00173464,0.0005011098,0.0006319553,0.004069718],"category_scores_gemma":[0.009627976,0.0001888524,0.001558496,0.01951569,0.0003840211,0.002831867,0.001308795,0.0008619135,0.0008725479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016485,"about_ca_system_score_gemma":0.002387684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04647936,"about_ca_topic_score_gemma":0.05245697,"domain_scores_codex":[0.998604,0.0002320632,0.0003481294,0.0002008763,0.0003609435,0.0002540686],"domain_scores_gemma":[0.9911322,0.002501228,0.004315581,0.0002040278,0.001121376,0.0007255064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002674765,0.00008317958,0.9631847,0.00248241,0.0004390839,0.0003499729,0.00194059,0.0001279798,0.0000825425,0.0007487122,0.009082993,0.02121054],"study_design_scores_gemma":[0.00001746396,0.00008943351,0.9817426,0.0007778671,0.0003644816,0.0005499115,0.004092637,0.0003500922,0.00008491363,0.0001620424,0.01174685,0.00002169466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532141,0.02470037,0.0002795495,0.00411724,0.0001087465,0.0002106109,0.1060948,0.00005909081,0.0112156],"genre_scores_gemma":[0.9686243,0.007402166,0.0002976905,0.0006660821,0.0001474768,0.0001673077,0.02153337,0.00002567906,0.001135999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04647936,"threshold_uncertainty_score":0.0924176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06707077571557814,"score_gpt":0.46508232547307,"score_spread":0.3980115497574919,"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."}}