{"id":"W4233362332","doi":"10.17504/protocols.io.sibecan","title":"Human Islet Purification - COBE setup v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Islet; Computer science; Biology; Endocrinology; Insulin","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":[0.001635245,0.003430802,0.002698721,0.002152947,0.002376687,0.002358553,0.002981387,0.002151014,0.1372733],"category_scores_gemma":[0.003031401,0.002412213,0.001681091,0.002288015,0.0007366532,0.001398098,0.002818439,0.005008307,0.1474477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009668105,"about_ca_system_score_gemma":0.001185592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338031,"about_ca_topic_score_gemma":0.002901523,"domain_scores_codex":[0.9977267,0.0003028597,0.0002316304,0.0006918241,0.0006738673,0.0003731228],"domain_scores_gemma":[0.9983515,0.0003796326,0.00006784338,0.0006919141,0.0002378999,0.000271247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002828912,0.0005563425,0.001689867,0.002556885,0.0002479056,0.00091013,0.0005407627,0.0007949109,0.689605,0.00601899,0.252093,0.04215728],"study_design_scores_gemma":[0.0003079932,0.0002178707,0.003409906,0.0002891392,0.0001058649,0.001086939,0.00009104272,0.001345127,0.4221355,0.002206397,0.5686756,0.0001286565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0416327,0.008268395,0.401297,0.00344596,0.004561867,0.01004087,0.3756499,0.06934745,0.08575591],"genre_scores_gemma":[0.0478275,0.005917656,0.2575707,0.002835393,0.0006948696,0.0185844,0.5586863,0.02938689,0.07849633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1372733,"threshold_uncertainty_score":0.4592249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017815747399663,"score_gpt":0.3096094044142719,"score_spread":0.2894312469402753,"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."}}