{"id":"W4312646446","doi":"10.52766/beul1278","title":"Efectividad, eficacia y seguridad de la citología con evaluación in situ en punción aspiración con aguja fina y biopsia con aguja gruesa ecoguiadas","year":2022,"lang":"es","type":"book","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03095919,0.001124242,0.001696246,0.003085619,0.0007297245,0.004370697,0.00140347,0.001944306,0.005731154],"category_scores_gemma":[0.04566102,0.0007027354,0.002748139,0.002625582,0.001990312,0.002501386,0.001922021,0.001238806,0.001696289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481127,"about_ca_system_score_gemma":0.003014356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004595329,"about_ca_topic_score_gemma":0.007218637,"domain_scores_codex":[0.9697672,0.01697863,0.002631304,0.002552391,0.00742346,0.0006470963],"domain_scores_gemma":[0.9415522,0.0339309,0.008645064,0.003361587,0.01204414,0.0004660526],"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":[0.01215828,0.0005931008,0.1337312,0.0336412,0.002491458,0.0008642158,0.005704745,0.003175908,0.05547334,0.003476475,0.009201715,0.7394884],"study_design_scores_gemma":[0.001040014,0.02524569,0.3802069,0.03680957,0.01558567,0.009450545,0.01213401,0.00886713,0.2283313,0.01253987,0.2687246,0.001064685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5141139,0.282785,0.1287354,0.007889648,0.00211642,0.005737039,0.008644275,0.001361125,0.04861725],"genre_scores_gemma":[0.8278897,0.05626565,0.09662478,0.002977419,0.0006072582,0.004002143,0.002577291,0.0004381313,0.008617606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03095919,"threshold_uncertainty_score":0.1637298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109092233144967,"score_gpt":0.3189327515396886,"score_spread":0.308023528225192,"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."}}