{"id":"W1550634573","doi":"","title":"Public health: what is to be done?","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Escherichia coli; Medicine; Environmental health; Data science; Microbiology; World Wide Web; Biology; Computer science; Pathology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002091863,0.0001515522,0.0002744339,0.0002634196,0.001042963,0.00009500841,0.0002828947,0.0001723789,0.002476868],"category_scores_gemma":[0.0005321003,0.0001398827,0.00005267434,0.0007199161,0.00002842455,0.0007205376,0.0001176143,0.0004500675,0.001771287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073806,"about_ca_system_score_gemma":0.0003171902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001983112,"about_ca_topic_score_gemma":0.0003606835,"domain_scores_codex":[0.9960806,0.0004510926,0.0006570757,0.0003336241,0.0003365093,0.002141079],"domain_scores_gemma":[0.9970036,0.0002680444,0.0001987699,0.0005402501,0.000190705,0.001798651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001532359,0.00005840957,0.001128055,0.00007798794,0.000005499483,1.467582e-7,0.01786865,8.974932e-8,1.49878e-7,0.001046893,0.6784194,0.3013932],"study_design_scores_gemma":[0.0002467202,0.00001837393,0.0901975,0.00002007788,0.000001549248,8.929196e-7,0.005147208,0.00001764797,7.407339e-7,0.0001191107,0.9041131,0.0001171551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03935469,0.001116557,0.00005787735,0.92039,0.004624613,0.002538935,0.00002297394,0.0001911087,0.03170322],"genre_scores_gemma":[0.2295187,0.002188431,0.0001554972,0.7012283,0.002177082,0.01107542,0.00002511506,0.00004798279,0.05358346],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3012761,"threshold_uncertainty_score":0.999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4189849019570825,"score_gpt":0.449434390416329,"score_spread":0.03044948845924644,"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."}}