{"id":"W2321318280","doi":"10.4310/sii.2011.v4.n1.a2","title":"Detection of rare items with TARGET","year":2011,"lang":"en","type":"article","venue":"Statistics and Its Interface","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Decision tree; Rank (graph theory); Artificial intelligence; Machine learning; Data mining; Tree (set theory); Pattern recognition (psychology); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006710839,0.000968218,0.002571504,0.004820817,0.001244198,0.003608469,0.003013237,0.003315785,0.001506364],"category_scores_gemma":[0.03625059,0.0005438837,0.001419142,0.004499097,0.001113795,0.00504772,0.002155447,0.002356246,0.001710284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007546487,"about_ca_system_score_gemma":0.0007864675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456319,"about_ca_topic_score_gemma":0.001026713,"domain_scores_codex":[0.9947023,0.0009490433,0.0004768481,0.001461148,0.002102811,0.0003079027],"domain_scores_gemma":[0.9665121,0.02033383,0.003750722,0.004685287,0.004020991,0.0006971723],"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":[0.001795664,0.0008525893,0.1598224,0.0006379536,0.000675751,0.003393914,0.00103349,0.1072168,0.02506983,0.028014,0.01197336,0.6595143],"study_design_scores_gemma":[0.00006867779,0.000444702,0.02198884,0.0001014671,0.0002493657,0.004085951,0.0003587891,0.8778841,0.03080308,0.05717906,0.006703719,0.000132214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2314011,0.001101941,0.7615747,0.000779201,0.0002026045,0.0002117364,0.0006605902,0.001474712,0.002593427],"genre_scores_gemma":[0.6433177,0.00041528,0.3506266,0.0004645029,0.0001936412,0.0001838558,0.001694796,0.0001633736,0.002940258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006710839,"threshold_uncertainty_score":0.03549075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211179105208574,"score_gpt":0.2449981576040288,"score_spread":0.2238802470831714,"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."}}