{"id":"W4393089673","doi":"10.46793/pp231209005t","title":"PREVENCIJA KARCINOMA GRLIĆA MATERICE","year":2024,"lang":"sh","type":"article","venue":"Preventive Paediatrics","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006349496,0.0006177836,0.0007198774,0.0004333969,0.0001963186,0.0002950726,0.0002479644,0.0002878577,0.002946486],"category_scores_gemma":[0.000116439,0.0005587949,0.0006641434,0.001286232,0.0001450769,0.0002503826,0.000273208,0.0005102625,0.004119228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008753209,"about_ca_system_score_gemma":0.0007306736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002093028,"about_ca_topic_score_gemma":0.00001746933,"domain_scores_codex":[0.996327,0.0002302589,0.0007488882,0.001122383,0.0007001889,0.000871243],"domain_scores_gemma":[0.9982006,0.0006183138,0.000168305,0.0005158198,0.0001388,0.0003581885],"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":[0.0004352708,0.005587863,0.3652505,0.01660552,0.006261121,0.006482014,0.006184407,0.00005359625,0.000428097,0.01853974,0.341136,0.2330359],"study_design_scores_gemma":[0.006132473,0.00544951,0.3989263,0.006230715,0.01865725,0.0004225645,0.0009146604,0.002063272,0.005622865,0.007200894,0.5458102,0.002569262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3578052,0.5938185,0.001285782,0.005442925,0.01123604,0.003442916,0.001263178,0.000591315,0.02511415],"genre_scores_gemma":[0.9448211,0.03529191,0.0007501172,0.0004051223,0.003851482,0.000328785,0.0001351995,0.000145308,0.014271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5870159,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226326839344695,"score_gpt":0.2840962905751269,"score_spread":0.27183302218168,"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."}}