{"id":"W4250612881","doi":"10.17504/protocols.io.bus3nwgn","title":"Human Islet Quantification and Purity Assessment v3","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Islet; Protocol (science); Diabetes mellitus; Computational biology; Medicine; Computer science; Biology; Endocrinology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005769829,0.003374484,0.002315699,0.00478262,0.002943185,0.004661212,0.003644799,0.002001026,0.09965076],"category_scores_gemma":[0.00396361,0.002139488,0.002358116,0.003065536,0.001481785,0.00106334,0.003458889,0.004622011,0.08889884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008948863,"about_ca_system_score_gemma":0.001815358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001827,"about_ca_topic_score_gemma":0.002615772,"domain_scores_codex":[0.9944314,0.0008869983,0.0004544984,0.001329698,0.002260819,0.0006366257],"domain_scores_gemma":[0.9960704,0.0004980437,0.0001520205,0.001954513,0.001045589,0.0002793836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001676903,0.0004948709,0.00176018,0.002773872,0.0003537034,0.0006095872,0.0009384947,0.001504727,0.6389871,0.01791979,0.2011397,0.1318412],"study_design_scores_gemma":[0.0001848535,0.0002858877,0.00335445,0.0005368034,0.0002432543,0.001051467,0.00009250431,0.003336607,0.4166819,0.005205721,0.5688395,0.0001871256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01937011,0.00715034,0.7331101,0.001029359,0.00226292,0.008538596,0.08566612,0.0461456,0.09672689],"genre_scores_gemma":[0.04612965,0.007063408,0.5806435,0.002026998,0.0007572227,0.02948375,0.1856689,0.02165071,0.1265758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09965076,"threshold_uncertainty_score":0.333365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211773282543486,"score_gpt":0.3571811729059238,"score_spread":0.3050634400804889,"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."}}