{"id":"W2314352172","doi":"10.1142/9781860948732_0033","title":"CONSENSUS CONTACT PREDICTION BY LINEAR PROGRAMMING","year":2007,"lang":"en","type":"article","venue":"Computational Systems Bioinformatics","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Linear programming; 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":[0.001062738,0.0001429033,0.0001581519,0.0001897805,0.0001417572,0.0002241863,0.0004237147,0.00008894828,0.000001472998],"category_scores_gemma":[0.0002988545,0.000138388,0.00004518271,0.0004671019,0.00003353731,0.0003096517,0.0001056909,0.0001755255,0.0001115597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568481,"about_ca_system_score_gemma":0.00010276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002055871,"about_ca_topic_score_gemma":4.244318e-7,"domain_scores_codex":[0.9981027,0.00002424664,0.0006108885,0.0001592911,0.000725653,0.0003772295],"domain_scores_gemma":[0.9980113,0.001097491,0.0001512203,0.0002531525,0.0003118654,0.0001749714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006180914,0.0004686188,0.05346213,0.001989865,0.0004703826,0.0001245067,0.007064698,0.5869015,0.0004108532,0.09606682,0.08666563,0.1663131],"study_design_scores_gemma":[0.0003530435,0.00009201481,0.004444407,0.00005623639,0.000002586095,0.0001172957,0.00009363853,0.9810699,0.0000575814,0.00006105046,0.01349988,0.0001523805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01367029,0.0001655693,0.9839866,0.00006697676,0.0007607614,0.0004134649,0.00002314908,0.0006138432,0.0002993429],"genre_scores_gemma":[0.7367633,0.000001460407,0.2628532,0.00004568474,0.0001227644,0.00001569647,0.00008555285,0.00001309303,0.00009924796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.723093,"threshold_uncertainty_score":0.56433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645098516990378,"score_gpt":0.2646623870308433,"score_spread":0.2482114018609395,"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."}}