{"id":"W6887850156","doi":"10.17632/v2g4p7h4fd","title":"Intervenciones no-farmacológicas para efectos priorizados por pacientes, de quimioterapia antineoplásica: revisión sistemática","year":2023,"lang":"es","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Context (archaeology)","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":[0.02954473,0.001024944,0.00281562,0.002652403,0.000502168,0.002481709,0.001488996,0.001350123,0.002896799],"category_scores_gemma":[0.06246025,0.0005661511,0.003228876,0.002122492,0.001114986,0.001974759,0.0008947555,0.001382025,0.0004875445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238852,"about_ca_system_score_gemma":0.007977761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004340762,"about_ca_topic_score_gemma":0.005371137,"domain_scores_codex":[0.9782991,0.01220846,0.004786957,0.001193113,0.003241801,0.0002705762],"domain_scores_gemma":[0.922061,0.04794324,0.01155005,0.004315591,0.01354455,0.0005854861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.005647039,0.000462354,0.01553376,0.06820445,0.005025733,0.0002478466,0.0008687188,0.0008711662,0.002212695,0.002742287,0.006034715,0.8921492],"study_design_scores_gemma":[0.008634611,0.02232939,0.1652503,0.2823485,0.06183305,0.004477439,0.002499063,0.004826873,0.01846276,0.01406315,0.4146977,0.000577043],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.03158792,0.9491273,0.006639265,0.005458865,0.001560041,0.001264802,0.0007428242,0.00009235594,0.003526585],"genre_scores_gemma":[0.3107041,0.6436353,0.02768324,0.006949772,0.002621427,0.004595205,0.001335349,0.00008976672,0.00238602],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02954473,"threshold_uncertainty_score":0.1562493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031443921087449,"score_gpt":0.3752135770838914,"score_spread":0.2720691849751465,"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."}}