{"id":"W3048298282","doi":"10.29173/hsi313","title":"From working with animals to humans","year":2020,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ogden; Public health; Division (mathematics); Medicine; Pathology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005631581,0.0001132755,0.0002842573,0.0001048291,0.0002964537,0.00007398484,0.0002308624,0.00002608151,0.0003168971],"category_scores_gemma":[0.0001458029,0.0000851095,0.0000270619,0.001272178,0.0002735574,0.0001180181,0.00007267347,0.0001616935,0.0001600639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427837,"about_ca_system_score_gemma":0.003184071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005589413,"about_ca_topic_score_gemma":0.00002325842,"domain_scores_codex":[0.9978234,0.00001903399,0.0002887134,0.0005354371,0.0006764021,0.0006570548],"domain_scores_gemma":[0.9970233,0.00003318919,0.000082312,0.0003017496,0.00009157396,0.00246792],"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":[0.001705409,0.0005384493,0.2779076,0.0009893921,0.0000442083,0.0002849628,0.1250114,0.0001722371,0.001498513,0.01064252,0.09071833,0.4904869],"study_design_scores_gemma":[0.00191698,0.005397378,0.7245568,0.001076132,0.00002944521,0.00002339386,0.01923562,0.001604195,0.0001387066,0.000291184,0.2452596,0.0004705655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8568641,0.0002239131,0.002024471,0.1366305,0.0003050393,0.000593567,0.000008165112,0.0001208212,0.003229478],"genre_scores_gemma":[0.894434,0.00001332196,0.005884001,0.0985119,0.001101642,0.00001233496,0.000004735337,0.00001246639,0.00002556998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4900164,"threshold_uncertainty_score":0.5648404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2175050947459839,"score_gpt":0.4106153890850009,"score_spread":0.193110294339017,"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."}}