{"id":"W2011044726","doi":"10.1142/9789814366496_0017","title":"ON THE COMPLEMENTARITY OF THE CONSENSUS-BASED DISORDER PREDICTION","year":2011,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Complementarity (molecular biology); Computer science; Artificial intelligence; Premise; Machine learning; Biology","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":[0.0001204056,0.00005128571,0.00003890022,0.000004615073,0.00006683819,0.000002954038,0.0001272207,0.00003808232,0.0001746988],"category_scores_gemma":[0.00001041079,0.00002502605,0.00004991647,0.00002535561,0.00009328096,2.825942e-7,0.00004669234,0.00004607665,0.0000027494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002627597,"about_ca_system_score_gemma":0.00002149291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000670447,"about_ca_topic_score_gemma":0.0001645901,"domain_scores_codex":[0.9996653,0.00002539233,0.000120311,0.00006087751,0.00005389786,0.00007423326],"domain_scores_gemma":[0.9996264,0.000012601,0.0000547977,0.0002693932,0.00002415099,0.00001267016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001207064,0.001428681,0.194317,0.0001187025,0.0007060803,6.21986e-7,0.001312674,0.00217134,0.08526531,0.2489565,0.4502469,0.01426917],"study_design_scores_gemma":[0.004271031,0.002319795,0.2033148,0.00007540864,0.0001510822,0.000009506281,0.001611094,0.03919955,0.5687695,0.02087857,0.1586832,0.0007164031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676776,0.00002918054,0.00462852,0.0006088683,0.0001638725,0.0002650171,0.00005099049,0.000004785057,0.02657118],"genre_scores_gemma":[0.9983682,0.000002682381,0.0002637283,0.001145763,0.00001872472,0.000005065357,0.00001631591,0.000003329511,0.0001761814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4835042,"threshold_uncertainty_score":0.191283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952725003801248,"score_gpt":0.2117010639220365,"score_spread":0.192173813884024,"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."}}