{"id":"W2783053205","doi":"10.1007/978-3-319-74180-2_11","title":"Consistent Subset Problem with Two Labels","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Alberta","funders":"","keywords":"Computer science; NP-complete; Algorithm; Artificial intelligence; Theoretical computer science; Computational complexity theory","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009800672,0.0004782508,0.0004243634,0.0005430304,0.0002943451,0.0007449984,0.00297632,0.0001790648,0.00005549114],"category_scores_gemma":[0.00005475206,0.0003694099,0.00006514035,0.0005818865,0.0009649007,0.0005515201,0.0009201695,0.0007383102,0.0001903931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874986,"about_ca_system_score_gemma":0.0006108452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004156818,"about_ca_topic_score_gemma":0.0002293414,"domain_scores_codex":[0.9962621,0.00005401056,0.0004222102,0.001689981,0.0009903123,0.0005814272],"domain_scores_gemma":[0.9968987,0.0002854519,0.0003700051,0.001905218,0.0003568671,0.0001837753],"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":[0.00002099426,0.00007094045,0.0006495933,0.0000903767,0.00003288051,0.0001233075,0.001462357,0.009264268,0.0001741689,0.104943,0.0003545786,0.8828136],"study_design_scores_gemma":[0.001448021,0.001321381,0.0009178648,0.001417969,0.00003865954,0.0005365888,4.934169e-7,0.7259263,0.001194013,0.212828,0.05210158,0.002269127],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009351328,0.0001548498,0.9867181,0.001597515,0.0005353932,0.000368487,0.00000898466,0.0002434776,0.01027975],"genre_scores_gemma":[0.0862743,0.00002654005,0.909523,0.001862725,0.0005408592,0.00001889753,0.00004331099,0.00004768007,0.001662732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8805444,"threshold_uncertainty_score":0.9998758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878860406924841,"score_gpt":0.2551750652903426,"score_spread":0.2363864612210941,"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."}}