{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451154,0.0009164853,0.001496919,0.001027799,0.0006870578,0.001054438,0.001577121,0.000851098,0.003111918],"category_scores_gemma":[0.004977554,0.0007532735,0.000877635,0.001008236,0.0005704972,0.00140393,0.001027032,0.001296047,0.0008806848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777018,"about_ca_system_score_gemma":0.001644462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00548586,"about_ca_topic_score_gemma":0.004921439,"domain_scores_codex":[0.9987422,0.0003972185,0.00005398393,0.0003205932,0.0003242794,0.0001618554],"domain_scores_gemma":[0.9972247,0.001757385,0.0002624347,0.0001892176,0.000450423,0.0001157949],"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":[0.0001199817,0.00008632786,0.001387651,0.00004603946,0.00003650972,0.00007483512,0.00003358785,0.9077514,0.001223319,0.003754832,0.001893374,0.08359208],"study_design_scores_gemma":[0.000004204594,0.000006382526,0.00003502017,8.362046e-7,0.000001705688,0.000003861408,0.000003538811,0.9975768,0.000269187,0.002041737,0.00005494109,0.000001737959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02496756,0.00005815667,0.9723598,0.000123964,0.0000136343,0.0000370857,0.00008620405,0.001260608,0.001093089],"genre_scores_gemma":[0.5992819,0.0001080038,0.3942505,0.0001556455,0.00005624397,0.0003306301,0.0008831166,0.0003958094,0.004538159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00548586,"threshold_uncertainty_score":0.01090789,"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."}}