{"id":"W4406451640","doi":"10.1016/s1166-8598(20)30224-6","title":"10.1016/s1166-8598(20)30224-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.00129825,0.003295995,0.002253025,0.003045806,0.002543556,0.004344553,0.003542182,0.006382307,0.9880019],"category_scores_gemma":[0.001639997,0.001143102,0.002048771,0.002547604,0.002055915,0.005496094,0.003518496,0.003523537,0.9926941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123862,"about_ca_system_score_gemma":0.001294324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003349263,"about_ca_topic_score_gemma":0.002763189,"domain_scores_codex":[0.999302,0.00003992934,0.00006068169,0.0002434254,0.000214089,0.00013986],"domain_scores_gemma":[0.9974269,0.0005445913,0.0001648024,0.0002844566,0.0004745233,0.001104621],"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":[0.0005123316,0.000262824,0.0006275845,0.0007917312,0.00004494729,0.0002215613,0.00008058808,0.0003815278,0.002837411,0.004963629,0.3456142,0.6436617],"study_design_scores_gemma":[0.00007115402,0.0001237926,0.000658831,0.0002398436,0.00001323873,0.000346025,0.00007263418,0.0001402038,0.0003608546,0.0005476217,0.997403,0.00002282395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000394909,0.0007598961,0.0007667619,0.0005164877,0.0005123187,0.000127459,0.0007586814,0.0009675387,0.9951959],"genre_scores_gemma":[0.0004774075,0.0003372059,0.0004286227,0.0002568922,0.0001300817,0.0000702246,0.0004548719,0.0001447266,0.9977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01199806,"threshold_uncertainty_score":0.01711369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004606372510843683,"score_gpt":0.1823244425591358,"score_spread":0.1777180700482921,"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."}}