{"id":"W2125381833","doi":"10.1109/cmpsac.1979.762465","title":"Some new algorithms and software implementation methods for pattern recognition research","year":2005,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Software; Interpreter; Software system; Algorithm; Software development; Data mining; Artificial intelligence; Machine learning; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592626,0.0000597621,0.00006248066,0.0001208702,0.0001710547,0.000200769,0.0002084845,0.0000342943,0.00004992402],"category_scores_gemma":[0.0001453867,0.00005384954,0.00001729998,0.0001619128,0.00001377947,0.0007463605,0.0001014759,0.000101379,0.00003957653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002938845,"about_ca_system_score_gemma":0.00004551679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002891283,"about_ca_topic_score_gemma":0.00004963708,"domain_scores_codex":[0.9990125,0.0002007608,0.0001469924,0.0003103108,0.0001385976,0.0001908508],"domain_scores_gemma":[0.9991722,0.0003705865,0.00004188706,0.0002349647,0.00009968515,0.00008072273],"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":[0.000001333251,0.000008808184,0.0001686704,0.000006581805,0.000002846757,6.011049e-8,0.0002245201,9.35576e-7,0.0002075017,0.001742601,0.003276109,0.99436],"study_design_scores_gemma":[0.002025085,0.0004664132,0.01864213,0.00002470659,0.00001419726,0.00002526779,0.0003558986,0.5147909,0.01125363,0.0931541,0.3587898,0.0004578275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004541521,0.0001653537,0.9904767,0.008393944,0.00006726105,0.0002324002,0.000006234821,0.0001265562,0.00007737534],"genre_scores_gemma":[0.00273245,0.00007208826,0.9957975,0.0003976619,0.0003586624,0.00004546249,0.000129419,0.00000634451,0.0004604346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9939022,"threshold_uncertainty_score":0.219592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759216844882896,"score_gpt":0.4991944641069069,"score_spread":0.3232727796186173,"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."}}