{"id":"W2795280957","doi":"10.2196/10541","title":"Recruitment of Cohort Number 20 of Field Epidemiology Training Program — Lessons Learned — Egypt, 2017","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Christian ministry; Training (meteorology); Cohort; Cohort study; Work (physics); Population; Medicine; Medical education; Geography; Environmental health; Political science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005997643,0.0004383723,0.0004084389,0.0007011597,0.001312976,0.0008415474,0.001163146,0.0007731756,0.02778144],"category_scores_gemma":[0.00714514,0.0003069086,0.0004947334,0.000430554,0.0002268203,0.0006238593,0.001824783,0.0009555138,0.01221815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000792,"about_ca_system_score_gemma":0.01057054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007718238,"about_ca_topic_score_gemma":0.009341106,"domain_scores_codex":[0.9988905,0.0002730313,0.0001012439,0.0001388799,0.0002577335,0.000338734],"domain_scores_gemma":[0.9971845,0.0001901147,0.0001846727,0.0001895795,0.001148568,0.001102509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006372254,0.008609666,0.3367066,0.003067926,0.0001046374,0.002117991,0.007686494,0.0002980791,0.006434175,0.001371612,0.2900215,0.3372092],"study_design_scores_gemma":[0.003309604,0.01148078,0.6272926,0.003456834,0.0001784207,0.001333335,0.01835206,0.0009077854,0.005424066,0.001485737,0.3266627,0.0001159946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7921894,0.002935305,0.008597649,0.01678302,0.004243924,0.08452636,0.04702197,0.000639378,0.04306299],"genre_scores_gemma":[0.6555946,0.004648349,0.0308286,0.02585649,0.001986177,0.1247388,0.03313677,0.0003231126,0.122887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02778144,"threshold_uncertainty_score":0.09293813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.426987328251167,"score_gpt":0.5288728918868565,"score_spread":0.1018855636356895,"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."}}