{"id":"W4241587302","doi":"10.2196/preprints.25422","title":"Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteoporosis; Medicine; Demography; Public health; Gerontology; Life expectancy; Population; Family medicine; Environmental health; 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":[0.0009502685,0.0001752299,0.0003835643,0.005177929,0.0003200276,0.001659093,0.0003785417,0.0005786835,0.009299384],"category_scores_gemma":[0.00797946,0.0001583903,0.001290204,0.0126444,0.0002770583,0.002406312,0.0009499798,0.0007498211,0.002067612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289053,"about_ca_system_score_gemma":0.001786048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05946737,"about_ca_topic_score_gemma":0.05450646,"domain_scores_codex":[0.9991689,0.0001468508,0.0001862432,0.0001180185,0.0001816591,0.0001983154],"domain_scores_gemma":[0.9931722,0.002211428,0.00285937,0.0001762469,0.0009670627,0.0006137153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003311021,0.00008147897,0.9569548,0.001409267,0.0003434655,0.0002133535,0.001656658,0.000110887,0.00007580059,0.0006668856,0.0208496,0.01730679],"study_design_scores_gemma":[0.00001306319,0.00007468081,0.9877878,0.0003749485,0.0001759864,0.0002050123,0.003373301,0.0002103032,0.0000605557,0.00007763162,0.007633118,0.0000136048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8257747,0.008682886,0.0001444231,0.004291662,0.0001318671,0.0001126554,0.1499282,0.0000593567,0.01087416],"genre_scores_gemma":[0.9582404,0.00441722,0.0001858084,0.0006467292,0.0001951701,0.0001509169,0.03331107,0.00003082123,0.002821716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05946737,"threshold_uncertainty_score":0.1182425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166482749072645,"score_gpt":0.3452777260080025,"score_spread":0.313612898517276,"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."}}