{"id":"W1675774479","doi":"10.1609/aimag.v25i1.1743","title":"AI and bioinformatics","year":2004,"lang":"en","type":"article","venue":"AI Magazine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Data science; Structural bioinformatics; Bioinformatics; Engineering ethics; Engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001844664,0.0001347121,0.000120327,0.00006060824,0.00006941563,0.00005378318,0.0001600745,0.0001458762,0.00002851048],"category_scores_gemma":[0.0001314337,0.0001108561,0.00004582763,0.00009185325,0.0002273467,0.000007964078,0.0002007462,0.0001301236,0.0002221032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001126828,"about_ca_system_score_gemma":0.0001065498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007755349,"about_ca_topic_score_gemma":0.00002568917,"domain_scores_codex":[0.9990407,0.00000986364,0.0002526657,0.0001513057,0.0002269303,0.000318565],"domain_scores_gemma":[0.9993666,0.000005420778,0.0000403794,0.000272673,0.0001069026,0.0002079725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003009052,0.0005214403,0.004070361,0.0009019306,0.000299285,0.00003771574,0.0009886516,0.0001334269,0.3828234,0.002568122,0.203355,0.4039997],"study_design_scores_gemma":[0.004275085,0.00202528,0.008975068,0.00007329595,0.00003938023,0.0001565543,0.000181556,0.001997674,0.1177989,0.003276876,0.8604311,0.0007692131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786068,0.003405132,0.1214863,0.0490306,0.00107901,0.001442233,0.0001889193,0.0001569986,0.044604],"genre_scores_gemma":[0.9663984,0.002095156,0.01468626,0.01355977,0.0003938283,0.00001395049,0.0002688936,0.00002810353,0.002555664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6570761,"threshold_uncertainty_score":0.4520579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052086256566542,"score_gpt":0.2737840455601013,"score_spread":0.2632631829944359,"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."}}