{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007468377,0.0009418623,0.001363902,0.003255967,0.002075337,0.0108009,0.001707437,0.004867863,0.02154059],"category_scores_gemma":[0.02622734,0.0005612447,0.0008134833,0.003830967,0.007313903,0.009453098,0.003585665,0.007766325,0.01048329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417121,"about_ca_system_score_gemma":0.003194936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084567,"about_ca_topic_score_gemma":0.001535961,"domain_scores_codex":[0.9915284,0.004159337,0.0005814921,0.00100947,0.002425229,0.0002960335],"domain_scores_gemma":[0.9770627,0.01714842,0.0006258969,0.001755566,0.002150432,0.001256836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005217043,0.00004225366,0.0009954242,0.0009925585,0.0001180645,0.0001251483,0.0004473577,0.002092983,0.0003626806,0.4874344,0.2697014,0.2376356],"study_design_scores_gemma":[0.00001634949,0.00002044193,0.0003657146,0.0003931641,0.00001586049,0.000213689,0.000159718,0.001932292,0.0001555954,0.5886321,0.4080723,0.00002274364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001998433,0.269042,0.146705,0.349012,0.0201162,0.000127764,0.001114653,0.002245,0.2096389],"genre_scores_gemma":[0.1426232,0.33003,0.2031665,0.124421,0.06253207,0.0006787069,0.002982062,0.0014533,0.1321132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02154059,"threshold_uncertainty_score":0.07206041,"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."}}