{"id":"W4389687900","doi":"10.1016/j.dci.2023.105115","title":"Animal granulins: In the GRN scheme of things","year":2023,"lang":"en","type":"article","venue":"Developmental & Comparative Immunology","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Function (biology); Gene isoform; Computational biology; Immune system; Fish <Actinopterygii>; Evolutionary biology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002479875,0.0001104297,0.0001592608,0.00008296906,0.00007939105,0.000004611639,0.0002285311,0.0001308651,0.00001301378],"category_scores_gemma":[0.00003156321,0.00008657545,0.00003397946,0.0002742435,0.0001764068,0.000006766061,0.00008051312,0.0001328784,0.00006808982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473511,"about_ca_system_score_gemma":0.00006518647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001782617,"about_ca_topic_score_gemma":0.0000475318,"domain_scores_codex":[0.9991726,0.0001386962,0.0002156386,0.0001961757,0.00005769923,0.0002192179],"domain_scores_gemma":[0.9997424,0.00004395622,0.00006877942,0.0001032493,0.00003147419,0.0000101339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004600711,0.00005161261,0.02873104,0.000003555595,0.00008227529,0.000006249421,0.001973,0.000009526451,0.9647318,0.001282905,0.002413277,0.0002547141],"study_design_scores_gemma":[0.001130211,0.0006572313,0.7385179,0.00001323626,0.000005801612,0.00007372833,0.001708283,0.0001984297,0.2367626,0.0004969161,0.02020557,0.0002300296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972628,0.0003593813,0.00005680091,0.0005659147,0.000062383,0.0001498721,0.000006281966,0.00001198112,0.001524565],"genre_scores_gemma":[0.9983839,0.00008415392,0.0003561834,0.0005195732,0.00001689279,0.00002534786,0.0005157916,0.000004524394,0.00009367234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7279691,"threshold_uncertainty_score":0.3530445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317736733191793,"score_gpt":0.291334659822831,"score_spread":0.2595609865036517,"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."}}