{"id":"W7008110677","doi":"","title":"Autovacuna en el tratamiento de la verruga equina","year":2013,"lang":"es","type":"other","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Population; Quarter (Canadian coin); Cauda equina syndrome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764906,0.0002827152,0.0003079045,0.0003128836,0.0004621877,0.0004825065,0.0002855359,0.000458255,0.001934909],"category_scores_gemma":[0.0003515854,0.00008113652,0.0002280309,0.0001259891,0.0002690879,0.0002097603,0.000382542,0.0003989354,0.0003193068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882973,"about_ca_system_score_gemma":0.0004162708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363251,"about_ca_topic_score_gemma":0.006710751,"domain_scores_codex":[0.9997854,0.00005882032,0.000009583856,0.00003783843,0.00007173422,0.0000367623],"domain_scores_gemma":[0.9998617,0.00004263598,0.00003651871,0.0000104974,0.00003178276,0.00001678968],"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":[0.002421773,0.001213257,0.03045165,0.002028436,0.0001246884,0.006726064,0.001907832,0.001008108,0.2954019,0.0006935751,0.003004288,0.6550183],"study_design_scores_gemma":[0.000535864,0.04563829,0.2721806,0.002011701,0.0008130925,0.05290221,0.003869851,0.006970632,0.3711204,0.00100644,0.2428423,0.0001086952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552377,0.02574947,0.006473611,0.0008181847,0.0001560843,0.0003907136,0.0001251557,0.0001743486,0.01087477],"genre_scores_gemma":[0.9713519,0.01238596,0.00716728,0.0005078004,0.0001303967,0.0001743222,0.0001585099,0.00002331075,0.008100475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003363251,"threshold_uncertainty_score":0.006687343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209376445581063,"score_gpt":0.2604739563856253,"score_spread":0.2483801919298147,"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."}}