{"id":"W212014443","doi":"10.5220/0002286801270133","title":"FINDING PROTEIN FAMILY SIMILARITIES IN REAL TIME THROUGH MULTIPLE 3D AND 2D REPRESENTATIONS, INDEXING AND EXHAUSTIVE SEARCHING","year":2009,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Search engine indexing; Computer science; Information retrieval; Theoretical computer science","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":[0.001955491,0.0008638313,0.001944494,0.007045241,0.001963459,0.003066097,0.001798002,0.001529108,0.03765405],"category_scores_gemma":[0.01474508,0.0006466453,0.0009787057,0.006338309,0.0005142008,0.00384985,0.001730913,0.0006768471,0.02563226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005364781,"about_ca_system_score_gemma":0.002208858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176007,"about_ca_topic_score_gemma":0.00313484,"domain_scores_codex":[0.9973319,0.0002319312,0.0002310248,0.0004467295,0.001628258,0.0001303191],"domain_scores_gemma":[0.9916299,0.001782508,0.0007969067,0.00159069,0.003865166,0.0003349145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006859486,0.0001638181,0.007532256,0.001107513,0.0001130311,0.0009456571,0.0002843765,0.003040395,0.05969966,0.00544201,0.1084692,0.8125162],"study_design_scores_gemma":[0.0004186143,0.00111423,0.04808104,0.0005767212,0.0005885247,0.009651762,0.003130262,0.2945336,0.1818129,0.06278069,0.3967493,0.0005623276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2901021,0.007941603,0.5461645,0.006863878,0.003769689,0.001300064,0.02397631,0.06750301,0.05237883],"genre_scores_gemma":[0.4330948,0.002394463,0.4978934,0.0003522855,0.0008947464,0.000363213,0.02362109,0.002979366,0.03840658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03765405,"threshold_uncertainty_score":0.1259653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629981124323602,"score_gpt":0.3008548505554413,"score_spread":0.2845550393122052,"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."}}