{"id":"W4402464046","doi":"10.2196/56736","title":"Identification and functional characterization of novel inflammation-associated genes differentially expressed by pulmonary arterial hypertension patients: Method (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Identification (biology); Inflammation; Gene; Computational biology; Medicine; Cardiology; Internal medicine; Bioinformatics; Biology; Genetics; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120841,0.0001341801,0.000232709,0.0002643594,0.00007534787,0.00004309631,0.00003937868,0.000268992,0.00001794639],"category_scores_gemma":[0.00005934696,0.0001020159,0.0000384467,0.0001834717,0.00009783627,0.0002008856,0.00009235951,0.000121317,0.000005159122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428501,"about_ca_system_score_gemma":0.00003337915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005752675,"about_ca_topic_score_gemma":4.827988e-7,"domain_scores_codex":[0.9990125,0.00001779196,0.0004166646,0.0001996213,0.000208745,0.0001447215],"domain_scores_gemma":[0.9994497,0.00004016955,0.0001306397,0.0001594795,0.0001541559,0.00006589606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001208724,0.0003487471,0.0007959863,0.0002063062,0.00009449854,0.000006422154,0.00003145665,1.87123e-7,0.9271589,0.0001460906,0.00007573815,0.07101481],"study_design_scores_gemma":[0.003985279,0.000754805,0.2978109,0.0004683167,0.0001972009,0.0002418365,0.0001483933,0.2588238,0.4337697,0.0002464563,0.003219008,0.0003343237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987093,0.00009879348,0.01041318,0.001378722,0.0001195697,0.0005864339,0.0001991419,0.00009510962,0.00001602871],"genre_scores_gemma":[0.9964125,0.0006943248,0.0009990493,0.00004131599,0.00002429129,0.00005246788,0.001664847,0.00001148805,0.00009971089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4933892,"threshold_uncertainty_score":0.4160089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471151877497569,"score_gpt":0.254684660474177,"score_spread":0.2399731416992013,"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."}}