{"id":"W2741312414","doi":"10.7939/r3c07x","title":"NOVEL MACHINE LEARNING ALGORITHMS","year":2013,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Machine learning; Computer science; Decision tree; Naive Bayes classifier; Classifier (UML); Incremental decision tree; Focus (optics); Tree (set theory); Active learning (machine learning); Decision tree learning; Pattern recognition (psychology); Support vector machine; Mathematics","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":[0.00412619,0.001899127,0.002202766,0.002526685,0.001147053,0.004647814,0.003611182,0.00347512,0.01099905],"category_scores_gemma":[0.01709637,0.0008723647,0.002058469,0.002602498,0.001806191,0.005724137,0.003967931,0.004897024,0.00671531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751063,"about_ca_system_score_gemma":0.001579036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008440961,"about_ca_topic_score_gemma":0.0008541543,"domain_scores_codex":[0.9957858,0.00114005,0.0003566371,0.001069474,0.001380831,0.0002672796],"domain_scores_gemma":[0.9951321,0.002509626,0.0003089375,0.0008858811,0.001025042,0.000138475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007925463,0.0001668455,0.001455085,0.0006501375,0.0001692463,0.0001543906,0.0001622364,0.08888657,0.002010772,0.3940396,0.02757902,0.4846468],"study_design_scores_gemma":[0.00004293868,0.00007739834,0.000245876,0.0001560824,0.00004222531,0.0003370512,0.00003804584,0.6214491,0.001689663,0.3222071,0.05368055,0.00003409665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002332229,0.003292624,0.9797789,0.001395955,0.0006631244,0.0001465697,0.0002452996,0.0008549104,0.0112904],"genre_scores_gemma":[0.1068349,0.006943746,0.8584145,0.002319334,0.002037206,0.0008199136,0.001556024,0.0003603942,0.02071399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01099905,"threshold_uncertainty_score":0.0367955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006413709727114704,"score_gpt":0.17068589177247,"score_spread":0.1642721820453553,"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."}}