{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811018,0.0002366551,0.0002160932,0.00005268187,0.0001310293,0.0000417678,0.0002983706,0.0008939243,0.0001754891],"category_scores_gemma":[0.00002085601,0.0002023042,0.0001202773,0.0000378857,0.0001066999,9.959551e-7,0.00035274,0.0002493396,0.0002576245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788515,"about_ca_system_score_gemma":0.0001830418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288745,"about_ca_topic_score_gemma":0.00002759846,"domain_scores_codex":[0.9985647,0.0001007496,0.000333335,0.0006169662,0.00013539,0.0002488347],"domain_scores_gemma":[0.9987591,0.00000257543,0.0002089986,0.0007369453,0.0001853453,0.0001070416],"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":[0.00003719675,0.0003548801,0.00321756,0.0009242377,0.0005438482,0.000008324423,0.0002272843,0.00008933782,0.3814583,0.004148367,0.6072643,0.001726427],"study_design_scores_gemma":[0.001157206,0.001005293,0.01431489,0.0004630546,0.0001556217,0.00004157509,0.0001887385,0.00008098954,0.2062949,0.002255735,0.7724314,0.001610581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6869263,0.001599602,0.002880993,0.000797849,0.001920235,0.001161105,0.0001466199,0.0001081176,0.3044592],"genre_scores_gemma":[0.9664584,0.0002205915,0.0003753015,0.0003618835,0.001234105,0.00005710532,0.001970388,0.00004163002,0.02928053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2795322,"threshold_uncertainty_score":0.8249727,"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."}}