{"id":"W39356073","doi":"10.1152/jn.00323.2024","title":"Todos los mamíferos del mundo","year":2012,"lang":"en","type":"article","venue":"Mètode: Revista de difusión de la Investigación","topic":"Ethics and bioethics in healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.003940866,0.0004356475,0.0006708196,0.000184053,0.0003135726,0.0001709436,0.000358062,0.0009899661,0.000284372],"category_scores_gemma":[0.002997094,0.0003871651,0.0002590474,0.0004626166,0.0008486611,0.0001765958,0.000195137,0.002393275,0.0001443309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649556,"about_ca_system_score_gemma":0.0008901616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004964356,"about_ca_topic_score_gemma":0.00002700767,"domain_scores_codex":[0.9961899,0.0006766149,0.0006830397,0.0004843759,0.0006807998,0.001285278],"domain_scores_gemma":[0.9961349,0.0008884443,0.0002135664,0.001002784,0.000306257,0.001454046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001129522,0.0003453382,0.677735,0.002588165,0.0001083066,0.0001585957,0.002763746,0.000003758471,0.01439746,0.2922807,0.00620918,0.003296802],"study_design_scores_gemma":[0.003966719,0.0007092743,0.3326506,0.004115453,0.0008923316,0.0026507,0.001033361,0.00178525,0.01452477,0.0279946,0.6076986,0.001978297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663782,0.009378349,0.0008577358,0.00867694,0.0003156199,0.0008830586,0.0000745603,0.0003190633,0.01311649],"genre_scores_gemma":[0.9660193,0.00114242,0.0108931,0.01946056,0.001106196,0.0001080374,0.00007883965,0.0001117681,0.001079844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6014894,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06225269129566273,"score_gpt":0.3805479355461933,"score_spread":0.3182952442505306,"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."}}