{"id":"W4406396036","doi":"10.1016/j.yend.2013.03.026","title":"10.1016/j.yend.2013.03.026","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; MEN1; Database; Internal medicine; Endocrine system; Computer science; Hormone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005854504,0.0009742759,0.0005573733,0.001085242,0.0008507675,0.002489846,0.0008625979,0.002919125,0.8516331],"category_scores_gemma":[0.00119769,0.0003667316,0.000527596,0.0005340101,0.0008260447,0.002006009,0.001142236,0.001802128,0.747135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286883,"about_ca_system_score_gemma":0.001140481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683379,"about_ca_topic_score_gemma":0.002006779,"domain_scores_codex":[0.9997789,0.00001909695,0.00001812451,0.00006602125,0.00005975294,0.00005816755],"domain_scores_gemma":[0.9992332,0.0001362756,0.00009616515,0.00004180291,0.0001348165,0.0003577272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005412148,0.0002482168,0.008569013,0.0004758248,0.00005381283,0.001054695,0.0001204249,0.0002789616,0.001693862,0.007536547,0.298824,0.6806033],"study_design_scores_gemma":[0.0000719754,0.0001377133,0.00592273,0.0007819725,0.00003954046,0.005772979,0.00029166,0.0001778073,0.0007244662,0.004802224,0.981249,0.00002794772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01100917,0.03482403,0.002758403,0.0203158,0.005168187,0.0000980741,0.004265704,0.001501208,0.9200593],"genre_scores_gemma":[0.02150809,0.008755133,0.002002134,0.003167562,0.001037977,0.0000689388,0.002063944,0.0002527809,0.9611434],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1483669,"threshold_uncertainty_score":0.2116274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096721380791224,"score_gpt":0.2486667397719103,"score_spread":0.2376995259639981,"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."}}