{"id":"W4387544829","doi":"10.7554/elife.85056.sa1","title":"Decision letter: Fluorescein-based sensors to purify human α-cells for functional and transcriptomic analyses","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fluorescein; Transcriptome; Computational biology; Computer science; Chemistry; Biology; Biochemistry; Gene expression; Gene; Fluorescence; Physics","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":[0.01131351,0.0007510823,0.001454257,0.00132627,0.003782366,0.006314015,0.002897792,0.0249413,0.05111207],"category_scores_gemma":[0.06791921,0.0009849219,0.00144828,0.0008209805,0.002266453,0.002544326,0.001734656,0.01158595,0.04986792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003239951,"about_ca_system_score_gemma":0.009455086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004494111,"about_ca_topic_score_gemma":0.01022796,"domain_scores_codex":[0.9873751,0.00171625,0.0009923086,0.0009628073,0.007185786,0.001767653],"domain_scores_gemma":[0.9338196,0.01978987,0.002219702,0.003566952,0.03258735,0.008016425],"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":[0.00005873676,0.00003272138,0.00008955766,0.0000525636,0.000007734653,0.0001483027,0.00001780626,0.00002851778,0.0004249465,0.001131724,0.9926442,0.005363157],"study_design_scores_gemma":[0.00009796289,0.00005382287,0.0009405142,0.0001100139,0.00001816036,0.0001552227,0.00005905003,0.0005559214,0.001932003,0.002552475,0.993483,0.00004175264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002772268,0.001440507,0.005402435,0.5299606,0.39572,0.001128817,0.003935847,0.001459864,0.05817965],"genre_scores_gemma":[0.02626618,0.002694199,0.009087215,0.4507075,0.1009331,0.001301427,0.003340598,0.0009137852,0.404756],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05111207,"threshold_uncertainty_score":0.1709869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05548747179179212,"score_gpt":0.3740818335638501,"score_spread":0.318594361772058,"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."}}