{"id":"W37574108","doi":"10.1016/j.neuroscience.2023.08.013","title":"Proceedings of the Second international conference on Advanced Data Mining and Applications","year":2005,"lang":"en","type":"article","venue":"Advanced Data Mining and Applications","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science","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":[0.009300333,0.001910221,0.003372835,0.003893696,0.001255339,0.006390891,0.003020175,0.002397763,0.03442465],"category_scores_gemma":[0.01757841,0.0006749941,0.002264824,0.003624755,0.0009993226,0.004556079,0.002506693,0.003729532,0.01830979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952186,"about_ca_system_score_gemma":0.003275208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689439,"about_ca_topic_score_gemma":0.002282533,"domain_scores_codex":[0.9950963,0.001389285,0.0007890351,0.000649581,0.001847101,0.0002286708],"domain_scores_gemma":[0.9892664,0.003644732,0.0003151786,0.001925378,0.004058378,0.0007898303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003184246,0.0002591005,0.002420868,0.0007314457,0.0003668118,0.0003350045,0.0001668671,0.002746754,0.002049856,0.006396577,0.2320913,0.7521171],"study_design_scores_gemma":[0.0001064191,0.0003141702,0.004403342,0.0007378241,0.0002809038,0.001293395,0.0004016066,0.06989038,0.003685543,0.0309785,0.887809,0.00009885935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0233624,0.1172468,0.70992,0.03002954,0.03517861,0.002253279,0.008770881,0.01061881,0.06261963],"genre_scores_gemma":[0.1055501,0.07220294,0.6032426,0.007098957,0.01243971,0.003253016,0.04257665,0.001595142,0.1520409],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03442465,"threshold_uncertainty_score":0.115162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04679952910546293,"score_gpt":0.3130906157513242,"score_spread":0.2662910866458613,"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."}}