{"id":"W2001611352","doi":"10.1016/j.tvjl.2003.10.014","title":"Predictive models and FMD: the emperor’s new clothes?","year":2004,"lang":"en","type":"letter","venue":"The Veterinary Journal","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Science Centre for Human and Animal Health","funders":"","keywords":"Outbreak; Confidence interval; Demography; Foot-and-mouth disease; Odds ratio; Medicine; Geography; Veterinary medicine; Internal medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004499475,0.0002599586,0.0002623967,0.00001323686,0.0007059225,0.0001665386,0.0007344591,0.0002402742,0.0003870546],"category_scores_gemma":[0.00002359076,0.00006062454,0.0001954522,0.0000869361,0.0002194682,0.0001489252,0.0002922181,0.00131065,0.00003405134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853878,"about_ca_system_score_gemma":0.00002175811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001458415,"about_ca_topic_score_gemma":0.000007774951,"domain_scores_codex":[0.9984392,0.0004039916,0.0002635762,0.000250444,0.0002282944,0.0004144792],"domain_scores_gemma":[0.9992447,0.0003168958,0.0002253585,0.0000904156,0.00002669344,0.00009596393],"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":[0.0001426485,0.00001065879,0.00005466189,0.000008838584,0.0001120537,0.0002670385,0.0001544626,0.00008494738,0.0001694087,0.0001063993,0.9907632,0.008125694],"study_design_scores_gemma":[0.0001582729,0.001560832,0.01714517,0.00008452321,0.000145389,0.001021172,0.0002273389,0.0002376159,4.443883e-7,0.05719545,0.9219658,0.0002579462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09977751,0.002054433,0.00007710388,0.8958732,0.0003352685,0.0002668729,0.00003405669,0.00003978653,0.001541766],"genre_scores_gemma":[0.2330185,0.003351912,0.00004525032,0.7406693,0.01778762,0.00002103764,0.00005843709,0.000007105573,0.005040842],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1552039,"threshold_uncertainty_score":0.5694193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100590967556512,"score_gpt":0.2572357641589356,"score_spread":0.1566447966024235,"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."}}