{"id":"W4236567923","doi":"10.17504/protocols.io.sphedj6","title":"Human Islet Distribution to ADI IsletCore Recipient Labs v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islet; Isolation (microbiology); Distribution (mathematics); Protocol (science); Computer science; Diabetes mellitus; Biology; Medicine; Bioinformatics; Mathematics; Endocrinology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004532821,0.001622291,0.001596789,0.003378545,0.002641339,0.003504591,0.003811404,0.001972883,0.367683],"category_scores_gemma":[0.00301971,0.001637411,0.001369743,0.002343855,0.00115064,0.001311399,0.003664584,0.004055621,0.2790102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132201,"about_ca_system_score_gemma":0.002313244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496226,"about_ca_topic_score_gemma":0.004084173,"domain_scores_codex":[0.9974081,0.0004430906,0.0002155439,0.0006483962,0.0009138857,0.0003710368],"domain_scores_gemma":[0.9969938,0.0002821661,0.0001041941,0.001545299,0.0005387646,0.0005357611],"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":[0.004477191,0.0008708662,0.001213592,0.001771814,0.0001158765,0.0008814157,0.0009502315,0.0004458785,0.3441104,0.02846381,0.4914877,0.1252113],"study_design_scores_gemma":[0.0003024995,0.0002231841,0.001458363,0.0002639882,0.00006947457,0.0006332308,0.00008263443,0.0003554817,0.08331718,0.002156197,0.9110966,0.00004112912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.02319421,0.00562644,0.2879593,0.002831724,0.006949172,0.02148893,0.2543409,0.02683841,0.3707709],"genre_scores_gemma":[0.04400605,0.004911135,0.1704849,0.003112807,0.0007931796,0.03444457,0.2505999,0.02418321,0.4674642],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.367683,"threshold_uncertainty_score":0.9019235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331682448408537,"score_gpt":0.3112081428769777,"score_spread":0.2778913183928923,"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."}}