{"id":"W4231216882","doi":"10.17504/protocols.io.si3ecgn","title":"Human Islet Quantification and Purity Assessment v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Islet; Chemistry; Computer science; Internal medicine; Medicine; 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":[0.001147004,0.001035809,0.0005718679,0.001602946,0.0006180518,0.002031602,0.0007552883,0.0007742543,0.01599744],"category_scores_gemma":[0.001591465,0.0004840147,0.0005586293,0.001405234,0.0004532497,0.0006970944,0.001046278,0.00123365,0.01339351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443183,"about_ca_system_score_gemma":0.0005064732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287468,"about_ca_topic_score_gemma":0.0009579513,"domain_scores_codex":[0.9992664,0.00008995536,0.00004321439,0.0002239297,0.000289209,0.00008716802],"domain_scores_gemma":[0.9993043,0.0001487386,0.00005289911,0.0002173711,0.0002344998,0.00004222838],"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":[0.0006480726,0.00008192057,0.003528905,0.0004006487,0.00008655112,0.0003008465,0.000182053,0.001545002,0.8468805,0.008094656,0.02084774,0.1174032],"study_design_scores_gemma":[0.00001823494,0.00006855121,0.004480641,0.00005553766,0.00004342686,0.0006189399,0.00004225932,0.007130262,0.9458725,0.002562681,0.03907633,0.00003062621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1888392,0.009455794,0.6639869,0.001712165,0.001503957,0.0004644612,0.02454379,0.01599997,0.09349377],"genre_scores_gemma":[0.4356054,0.006012231,0.4273203,0.001320562,0.0004948137,0.0007739768,0.04587083,0.007491568,0.07511044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01599744,"threshold_uncertainty_score":0.05351675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287834405019363,"score_gpt":0.3573520589773991,"score_spread":0.3344737149272055,"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."}}