{"id":"W3113263614","doi":"10.17504/protocols.io.sg4ebyw","title":"IsletCore Equipment Setup for Human Islet Isolation v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Islet; Isolation (microbiology); Computer science; Biology; Biotechnology; Insulin; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009562451,0.001047848,0.0008296639,0.000923859,0.0007341985,0.001253873,0.001665126,0.0008500046,0.1392837],"category_scores_gemma":[0.002385586,0.0006189022,0.0004259394,0.0005022273,0.0002850569,0.0009544658,0.001962392,0.001092988,0.05052865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491384,"about_ca_system_score_gemma":0.001089972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009301224,"about_ca_topic_score_gemma":0.001110828,"domain_scores_codex":[0.9993557,0.00004953915,0.00003182769,0.0002495506,0.0001994036,0.0001139455],"domain_scores_gemma":[0.9986123,0.0002948917,0.00005055119,0.0003485119,0.0004070634,0.0002866576],"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":[0.002740439,0.0004663795,0.01561035,0.0008804522,0.000148066,0.0009900072,0.0003662666,0.00236203,0.3477323,0.005366835,0.3354354,0.2879014],"study_design_scores_gemma":[0.0004362006,0.001767491,0.0331219,0.0002801297,0.0001803025,0.003703371,0.0003782763,0.0367688,0.385787,0.004519592,0.5328234,0.0002335893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1164155,0.0009997014,0.6664757,0.00128089,0.001630646,0.002284318,0.02454154,0.1167806,0.0695912],"genre_scores_gemma":[0.410617,0.0008092678,0.4063611,0.003757474,0.0007009298,0.005230942,0.05470555,0.02064213,0.09717558],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1392837,"threshold_uncertainty_score":0.4659504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321653840450439,"score_gpt":0.3374871675863246,"score_spread":0.2842706291818202,"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."}}