{"id":"W4252292706","doi":"10.22215/etd/2011-06845","title":"Targeted optimizatino of computational and classification performance of a protein-protein interaction predictor","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002914504,0.001193551,0.0007128062,0.0008171241,0.0003521956,0.001288942,0.001077881,0.001184097,0.002925359],"category_scores_gemma":[0.007817021,0.0004133419,0.0007018563,0.0005176204,0.0005281689,0.0009658589,0.0008509406,0.00114073,0.0009079553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009624368,"about_ca_system_score_gemma":0.001557707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578702,"about_ca_topic_score_gemma":0.005413764,"domain_scores_codex":[0.9991693,0.0003555316,0.00004401666,0.0001392293,0.0001240778,0.0001677137],"domain_scores_gemma":[0.9963813,0.002494645,0.000240363,0.0002668365,0.0004883015,0.000128463],"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":[0.002104384,0.001198681,0.009694495,0.0002566309,0.0002870538,0.00009260137,0.0001169719,0.7036282,0.018948,0.002798744,0.008358438,0.2525157],"study_design_scores_gemma":[0.00005671464,0.0001276001,0.0005825187,0.000007200782,0.00003207798,0.00001293625,0.00001494177,0.9948397,0.003693985,0.0004432672,0.0001836412,0.000005376308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7567346,0.002320158,0.2167962,0.002111666,0.0002709244,0.0002564669,0.000449636,0.007402697,0.01365765],"genre_scores_gemma":[0.906524,0.0002884765,0.08796258,0.0003014228,0.0000948535,0.0002080469,0.0006036174,0.0003552327,0.003661753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003578702,"threshold_uncertainty_score":0.01541352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009266706375626686,"score_gpt":0.2488603973627018,"score_spread":0.2395936909870751,"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."}}