{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01183744,0.0008712233,0.001556732,0.000518133,0.001629502,0.004486964,0.002100161,0.03229233,0.01062242],"category_scores_gemma":[0.06038415,0.0005308439,0.0009741561,0.0007234556,0.004703175,0.007798543,0.001519097,0.02768379,0.003028379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405957,"about_ca_system_score_gemma":0.002814736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063992,"about_ca_topic_score_gemma":0.01544907,"domain_scores_codex":[0.9956421,0.002388285,0.0004063015,0.0004411082,0.0008342993,0.0002880438],"domain_scores_gemma":[0.9458938,0.04372805,0.001926127,0.001469275,0.004305645,0.002677076],"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":[0.0001327996,0.00005875072,0.001758652,0.0001129887,0.00004068636,0.0008028273,0.0002331312,0.0005162713,0.00006793264,0.01547861,0.9398643,0.04093295],"study_design_scores_gemma":[0.0002649574,0.0001449398,0.002785152,0.001208563,0.00006347193,0.002283012,0.001586436,0.006754207,0.0001361027,0.1367304,0.8479192,0.0001234893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002281062,0.002052714,0.000321125,0.9916211,0.004658666,0.000002056011,0.00002359317,0.000006387051,0.001086305],"genre_scores_gemma":[0.01735905,0.007679664,0.001339629,0.8900033,0.07514448,0.00003087153,0.000058073,0.00002714988,0.008357725],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03229233,"threshold_uncertainty_score":0.06260312,"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."}}