{"id":"W3014178346","doi":"10.17713/ajs.v49i3.1011","title":"Application of BiMax, POLS, and LCM-MBC to Find Bicluster on Interactions Protein between HIV-1 and Human","year":2020,"lang":"en","type":"article","venue":"Austrian Journal of Statistics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Universitas Indonesia","keywords":"Biclustering; Cluster analysis; Computer science; Data mining; Artificial intelligence; Correlation clustering; CURE data clustering algorithm","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":[0.00009892062,0.00007738452,0.0001413875,0.00003856196,0.00003868229,0.00001986734,0.00007285142,0.00005087473,0.000005609395],"category_scores_gemma":[0.00004678687,0.00006972036,0.0000192079,0.00004609027,0.00003912348,0.000004641041,0.00004802834,0.0001182248,0.000002034709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006168641,"about_ca_system_score_gemma":0.00002293002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003800779,"about_ca_topic_score_gemma":0.000002448936,"domain_scores_codex":[0.9994115,0.00001797669,0.0003344278,0.00008153945,0.0000723351,0.00008226612],"domain_scores_gemma":[0.9994376,0.00001880902,0.000254172,0.00007824088,0.00007286237,0.0001382857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007472877,0.0001541453,0.01626394,0.000344756,0.0005678937,0.00001290408,0.001930369,0.0006920277,0.7495244,0.005797101,0.04521282,0.1787523],"study_design_scores_gemma":[0.01677779,0.03123266,0.1741053,0.001092469,0.001169622,0.0003274674,0.003868714,0.007479955,0.2689707,0.01053683,0.4817318,0.00270664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5763165,0.00004755555,0.4211454,0.001723429,0.00003309498,0.0002448039,0.0003786733,0.000001508662,0.0001089965],"genre_scores_gemma":[0.9851049,0.00001221407,0.01431789,0.0001922737,0.000239887,0.000001666217,0.0000449535,0.000008036187,0.00007814224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4805537,"threshold_uncertainty_score":0.2843114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198919524804677,"score_gpt":0.27147300346249,"score_spread":0.2515810509820223,"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."}}