{"id":"W7098314096","doi":"","title":"Printed in Great Britain An 'Electronic ' Extramural Course in Epidemiology and Medical Statistics","year":2016,"lang":"en","type":"article","venue":"","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Course (navigation); Nova scotia; Medical statistics; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008879389,0.0002063872,0.0003793032,0.0001758013,0.00001768349,0.00001314605,0.0001995514,0.0002076066,0.0008143193],"category_scores_gemma":[0.0008967307,0.0001469657,0.00002505934,0.0001852822,0.0001294545,0.0001215079,0.00005571355,0.0004910098,0.00003054893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202045,"about_ca_system_score_gemma":0.00006939501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004595721,"about_ca_topic_score_gemma":0.04032549,"domain_scores_codex":[0.9980509,0.0001226546,0.0004223439,0.0002871344,0.0002067173,0.0009102977],"domain_scores_gemma":[0.9986972,0.0007190593,0.0000115223,0.0002373394,0.00002907467,0.0003057917],"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":[0.0002155977,0.0001359924,0.203848,0.0004152492,0.0001372431,0.0002192577,0.0007957372,0.007413608,0.01194254,0.05801935,0.004102045,0.7127554],"study_design_scores_gemma":[0.005550129,0.0004726475,0.7243645,0.0004764264,0.00002337016,0.0006095617,0.00008736127,0.21131,0.0003212916,0.02664025,0.02852638,0.001618074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703642,0.0005984249,0.02766637,0.0006238669,0.00009954964,0.000153967,0.00002082356,0.0001661738,0.0003066939],"genre_scores_gemma":[0.9962373,0.0006737762,0.00229994,0.00003407251,0.00005658237,0.00001839436,0.00002776953,0.00003221843,0.0006199576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7111373,"threshold_uncertainty_score":0.9771861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09555176015403112,"score_gpt":0.386718162779488,"score_spread":0.2911664026254569,"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."}}