{"id":"W4390492853","doi":"10.17504/protocols.io.n2bvj63p5lk5/v1","title":"Seahorse protocol for islets using Xfe24 Analyzer v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Seahorse; Islet; Spectrum analyzer; Chemistry; Biology; Computer science; Fishery; Endocrinology; Diabetes mellitus; Telecommunications","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":[0.002040603,0.002294638,0.001756956,0.002828413,0.001636987,0.002038228,0.002228417,0.001137957,0.08592463],"category_scores_gemma":[0.001418105,0.001285397,0.001197772,0.001737051,0.0006838633,0.0008009558,0.001363309,0.003435672,0.06213249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428366,"about_ca_system_score_gemma":0.001244207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009028788,"about_ca_topic_score_gemma":0.003363468,"domain_scores_codex":[0.9986001,0.0001753935,0.000171974,0.0003730947,0.0005368136,0.0001427267],"domain_scores_gemma":[0.9990839,0.0001311366,0.00005058578,0.0003805834,0.0002689237,0.00008482784],"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":[0.000878446,0.0003303025,0.001484917,0.001918126,0.000214621,0.0006304659,0.0004979644,0.001009486,0.7321094,0.005831365,0.1648387,0.09025624],"study_design_scores_gemma":[0.0001795751,0.0004042352,0.004527539,0.0002284145,0.000156763,0.001112386,0.0000764561,0.002241943,0.3513301,0.002179589,0.6374278,0.0001351675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02354242,0.004214035,0.7643678,0.0008644276,0.002387404,0.006668125,0.09239428,0.0393558,0.06620576],"genre_scores_gemma":[0.02868146,0.004818487,0.6558538,0.001301095,0.0005276895,0.02282418,0.1344553,0.01580841,0.1357295],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.08592463,"threshold_uncertainty_score":0.2874465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1946616818417357,"score_gpt":0.3657104184395465,"score_spread":0.1710487365978108,"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."}}