{"id":"W755151884","doi":"10.1007/978-3-319-02054-9_44","title":"Generating Master Assembly Sequence Using Consensus Trees","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Sequence (biology); Consensus sequence; Computer science; Biology; Genetics; Base sequence","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":[0.0005668892,0.0009001168,0.0007572518,0.0007046789,0.0006281252,0.0006281775,0.001409192,0.0007928855,0.01260583],"category_scores_gemma":[0.001500345,0.0007930669,0.0009054233,0.0009061607,0.0004902324,0.001197615,0.0008812853,0.001244605,0.00528504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616955,"about_ca_system_score_gemma":0.0008749069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381169,"about_ca_topic_score_gemma":0.002108545,"domain_scores_codex":[0.9996483,0.00005342073,0.00001865188,0.0001048093,0.0001435115,0.0000312278],"domain_scores_gemma":[0.9994741,0.0002301149,0.00003027373,0.0001186029,0.0001296845,0.00001733321],"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":[0.0001202638,0.0000894066,0.000342844,0.0004602916,0.00004830743,0.0002490152,0.000294895,0.2953827,0.03802082,0.08082193,0.01740251,0.566767],"study_design_scores_gemma":[0.0000335832,0.00007490042,0.0001724196,0.00006457196,0.00002421605,0.0002077151,0.00006418308,0.8566422,0.03802032,0.07205353,0.0326083,0.00003401746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004689861,0.0001713663,0.9842798,0.0000659292,0.00007020335,0.00005970214,0.0001654966,0.001504663,0.008993081],"genre_scores_gemma":[0.06536285,0.0003964478,0.9136214,0.00007637742,0.0000439768,0.0001976844,0.001242352,0.001110005,0.01794891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01260583,"threshold_uncertainty_score":0.04217064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219539175202875,"score_gpt":0.2296589001259481,"score_spread":0.1774635083739194,"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."}}