{"id":"W2499358136","doi":"10.1370/afm.1953","title":"Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends","year":2016,"lang":"en","type":"article","venue":"The Annals of Family Medicine","topic":"Travel-related health issues","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Seasonality; Population; Ankle; Environmental health; Surgery; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002115706,0.0002024488,0.0003042128,0.006170515,0.0002783816,0.001178226,0.0003773698,0.000256377,0.001139378],"category_scores_gemma":[0.01079987,0.0001478368,0.0005467088,0.008148964,0.0003205634,0.001579168,0.0008711407,0.0003682068,0.0003301631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418026,"about_ca_system_score_gemma":0.0004129461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765965,"about_ca_topic_score_gemma":0.02504738,"domain_scores_codex":[0.9975176,0.0007561055,0.0006504575,0.0003688338,0.0005141485,0.0001928555],"domain_scores_gemma":[0.9920954,0.00196561,0.004103398,0.0004483616,0.001122357,0.0002648538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007139865,0.00001995051,0.9903179,0.0002040064,0.0001142499,0.0000673399,0.001112365,0.0001100692,0.000239845,0.00008091329,0.0009045769,0.00675742],"study_design_scores_gemma":[0.000002837565,0.00004659229,0.9959274,0.00004278326,0.00004010111,0.0003116801,0.001644161,0.0004864659,0.0001457588,0.00005768615,0.001281592,0.00001285381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824411,0.0009166434,0.0007706588,0.0002596734,0.00002192544,0.0001375881,0.01192372,0.00006135348,0.003467374],"genre_scores_gemma":[0.9940054,0.0003883916,0.0007035849,0.00007381355,0.00003314458,0.00009037565,0.004486019,0.00001612026,0.0002031963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01765965,"threshold_uncertainty_score":0.03511375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.546951815472744,"score_gpt":0.5131691277431433,"score_spread":0.03378268772960069,"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."}}