{"id":"W3114878918","doi":"10.2196/24924","title":"Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Disease; Machine learning; Vibrio parahaemolyticus; Artificial intelligence; Biology; Computer science; Medicine; Pathology","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":[0.008007936,0.001137769,0.001374274,0.001150928,0.0005429884,0.0009809401,0.001787751,0.002059154,0.001873681],"category_scores_gemma":[0.01778428,0.000345733,0.0008057085,0.001182655,0.0004124105,0.001010081,0.0008218145,0.001706568,0.0005803696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127036,"about_ca_system_score_gemma":0.002221521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263976,"about_ca_topic_score_gemma":0.005561675,"domain_scores_codex":[0.9979747,0.0009316696,0.0002029126,0.0003443128,0.0003475993,0.0001987029],"domain_scores_gemma":[0.9808539,0.01377776,0.0005597039,0.0006595441,0.00393728,0.0002117386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004101565,0.0007486225,0.02791695,0.0001934108,0.0002415379,0.0001323475,0.00009118322,0.7935294,0.001171547,0.0009816872,0.002190757,0.1723924],"study_design_scores_gemma":[0.00001896835,0.00005943251,0.0008624673,0.00001198779,0.0000113928,0.00002032299,0.00001153023,0.99828,0.0003487858,0.0002246232,0.0001469984,0.000003484362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5215021,0.004258814,0.4639459,0.0009350327,0.0002069217,0.0008668018,0.0007144792,0.002842066,0.004727991],"genre_scores_gemma":[0.8045656,0.0006614102,0.1906807,0.0001935108,0.00005127549,0.0006995485,0.001325339,0.00008588962,0.001736679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01263976,"threshold_uncertainty_score":0.04235047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355239390007038,"score_gpt":0.3102664245778678,"score_spread":0.2747424855771641,"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."}}