{"id":"W4389232718","doi":"10.22335/rlct.v15i3.1847","title":"Caracterización de los caninos en función de vigilancia y seguridad privada. Contribución para la prevención y seguridad en Colombia","year":2023,"lang":"es","type":"article","venue":"Revista Logos Ciencia & Tecnología","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.008112187,0.001538649,0.003017551,0.0007129331,0.001182799,0.0002467078,0.002703768,0.004362853,0.0007649719],"category_scores_gemma":[0.00827615,0.001506172,0.0009157563,0.001591244,0.002113778,0.0003953134,0.001032113,0.003494682,0.00321319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142848,"about_ca_system_score_gemma":0.002989719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004130459,"about_ca_topic_score_gemma":0.0001232877,"domain_scores_codex":[0.9823585,0.00858362,0.00223313,0.00224895,0.000301935,0.004273938],"domain_scores_gemma":[0.9894371,0.006363276,0.00129228,0.002075653,0.0003765172,0.0004551521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001876718,0.0006883072,0.3604104,0.0009571575,0.0024589,0.001969446,0.001906745,0.00007671823,0.5259445,0.03987594,0.04629747,0.0175377],"study_design_scores_gemma":[0.003184607,0.001327626,0.65433,0.000697347,0.001038137,0.001684149,0.0004398203,0.000348031,0.00623727,0.0009755729,0.328155,0.001582472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731022,0.01315208,0.0007975765,0.00454375,0.0009269602,0.002518716,0.001579623,0.001287628,0.002091523],"genre_scores_gemma":[0.9832032,0.006046804,0.0001865528,0.002478784,0.0006134122,0.0006218838,0.0006368557,0.0001709092,0.006041653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5197072,"threshold_uncertainty_score":0.9997362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009313054557922756,"score_gpt":0.2871082805699162,"score_spread":0.2777952260119934,"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."}}