{"id":"W4410696545","doi":"10.1242/dmm.052456","title":"First person – Priyanka Mungara","year":2025,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Biology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005442434,0.0009238124,0.00105281,0.001358482,0.009149555,0.007225287,0.001239877,0.002809105,0.07745586],"category_scores_gemma":[0.03240985,0.0006576537,0.0003965897,0.0008094219,0.002921968,0.005673221,0.004412869,0.0100719,0.04282999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003892659,"about_ca_system_score_gemma":0.00530702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027622,"about_ca_topic_score_gemma":0.003016039,"domain_scores_codex":[0.99226,0.003269643,0.0002946806,0.001296292,0.002132197,0.0007471226],"domain_scores_gemma":[0.9756158,0.005199449,0.001772033,0.001344746,0.008065261,0.008002779],"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":[0.00009824442,0.00009848175,0.0008214099,0.0002455456,0.00001318217,0.001119854,0.03430932,0.00004513702,0.001563848,0.006719687,0.9238492,0.03111607],"study_design_scores_gemma":[0.000006276188,0.00002151031,0.0003959852,0.0001692294,0.00000347667,0.0008801045,0.01794295,0.00005267637,0.000292342,0.0009923253,0.9792103,0.00003277713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04696102,0.02811769,0.0159661,0.6228044,0.09254361,0.001022455,0.002102018,0.00307049,0.1874122],"genre_scores_gemma":[0.2245091,0.007421871,0.008746132,0.2275979,0.007603874,0.001676968,0.0004129098,0.002405565,0.5196256],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07745586,"threshold_uncertainty_score":0.2591157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084161209962496,"score_gpt":0.2178587734226187,"score_spread":0.2070171613229937,"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."}}