{"id":"W4235705424","doi":"10.2196/preprints.13603","title":"Rosacea and Associated Comorbidities: A Google Search Trends Analysis (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rosacea; Medicine; Globe; Dermatology; Demography; Ophthalmology","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":[0.001045399,0.0004035877,0.001141348,0.01855184,0.0004142134,0.00189916,0.0005205433,0.000512776,0.009379011],"category_scores_gemma":[0.009732501,0.0002321946,0.002500308,0.03673467,0.000217857,0.001887558,0.001113683,0.0007652934,0.002087932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161037,"about_ca_system_score_gemma":0.00307825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04882042,"about_ca_topic_score_gemma":0.1041696,"domain_scores_codex":[0.9984905,0.0001685387,0.0005237011,0.0002260504,0.0003965664,0.0001946239],"domain_scores_gemma":[0.9880397,0.005335174,0.004089103,0.0002311391,0.001926195,0.0003786639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001623745,0.0001148863,0.6793363,0.06457575,0.00369509,0.001275474,0.00268151,0.0008540982,0.001573251,0.001208769,0.1583078,0.08475332],"study_design_scores_gemma":[0.00008182663,0.0001875527,0.9182942,0.01031352,0.00196419,0.001785296,0.003990563,0.001366786,0.000487094,0.0003821579,0.06107128,0.00007550497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2224771,0.04051846,0.0003159123,0.003091445,0.0001763874,0.0003588564,0.7275137,0.0003504837,0.005197533],"genre_scores_gemma":[0.604367,0.05809712,0.004117166,0.002113017,0.0003156014,0.001004986,0.323603,0.0003187663,0.006063281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04882042,"threshold_uncertainty_score":0.09707254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820430232761977,"score_gpt":0.3157663565707468,"score_spread":0.287562054243127,"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."}}