{"id":"W6888507956","doi":"10.21228/m81x28","title":"PR001034","year":2020,"lang":"en","type":"other","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Genomics; Canadian Institutes of Health Research; National Institute of General Medical Sciences; University of Kentucky; Ontario Genomics Institute; National Institutes of Health","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[],"category_scores_codex":[0.0004430719,0.00196036,0.001043567,0.002072023,0.002313385,0.005060827,0.001906665,0.002070631,0.9446351],"category_scores_gemma":[0.002107168,0.0008385473,0.000991071,0.001701211,0.0006436994,0.001371565,0.002893663,0.001934546,0.9295228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072487,"about_ca_system_score_gemma":0.002248097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481592,"about_ca_topic_score_gemma":0.03068362,"domain_scores_codex":[0.9996024,0.00004792531,0.00001400536,0.00009605208,0.0001429484,0.00009656468],"domain_scores_gemma":[0.9991544,0.00009060086,0.00003513803,0.000115512,0.0002451412,0.0003592089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003424958,0.00003402628,0.00006544573,0.00005353121,0.000004214203,0.00001660431,0.000009190947,0.00004261531,0.00006487192,0.0009285977,0.970786,0.02796065],"study_design_scores_gemma":[0.00003541412,0.00002152427,0.0002251751,0.00006690588,0.000005845055,0.00002594897,0.00003387289,0.00009841629,0.00007365924,0.0007103724,0.9986971,0.000005836833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001685121,0.0001841226,0.0002704931,0.000387521,0.0004460752,0.00008460257,0.006511053,0.002350617,0.989597],"genre_scores_gemma":[0.0005085189,0.0001246348,0.000255394,0.000351282,0.00004920071,0.00005178787,0.003852061,0.000704336,0.9941029],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05536491,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854868869598889,"score_gpt":0.254779884455437,"score_spread":0.2362311957594481,"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."}}