{"id":"W4406553221","doi":"10.1016/s1558-0164(10)70031-6","title":"10.1016/s1558-0164(10)70031-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Uric acid; Drop (telecommunication); Weight loss; Drop out; Internal medicine; Computer science; Demographic economics; Telecommunications; Economics; Obesity","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":[0.001057273,0.002775893,0.001656546,0.002884436,0.002397457,0.003263172,0.003093797,0.005603953,0.9901112],"category_scores_gemma":[0.001725356,0.0008581582,0.001488588,0.001834774,0.001655301,0.004829037,0.003421015,0.002720272,0.992859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009773178,"about_ca_system_score_gemma":0.001089683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294214,"about_ca_topic_score_gemma":0.002914754,"domain_scores_codex":[0.9993207,0.00004761537,0.000055573,0.0002314436,0.0001895032,0.0001551977],"domain_scores_gemma":[0.997686,0.0005185219,0.0001500995,0.0002296776,0.0004305059,0.0009851428],"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":[0.0004359411,0.0002969585,0.0008980933,0.0005536196,0.00003381355,0.0003044288,0.00009598656,0.0003740261,0.00169892,0.004715567,0.3985718,0.5920209],"study_design_scores_gemma":[0.0000711566,0.0001289465,0.0007368786,0.000294065,0.0000126539,0.000409535,0.00009059666,0.0001627199,0.000293134,0.0005884396,0.9971899,0.00002191358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003414883,0.0004055179,0.000517663,0.0004027217,0.0003513033,0.0000995065,0.0005104688,0.0007048955,0.9966665],"genre_scores_gemma":[0.0004719099,0.0001732277,0.000300928,0.0002348131,0.000108796,0.00004963531,0.0002999096,0.0001135139,0.9982473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009888828,"threshold_uncertainty_score":0.0141052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006314565309774077,"score_gpt":0.1875804777644932,"score_spread":0.1812659124547192,"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."}}