{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002822286,0.0001998182,0.0001952399,0.00008391195,0.0004363393,0.0002120732,0.003858702,0.0000575502,0.00001400151],"category_scores_gemma":[0.00005484282,0.0001739827,0.00001771626,0.0004648357,0.0002208952,0.001624477,0.002547551,0.0001404532,0.000006774344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909318,"about_ca_system_score_gemma":0.00006437401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003472319,"about_ca_topic_score_gemma":0.00003455126,"domain_scores_codex":[0.9979951,0.000009491925,0.0004012504,0.001107151,0.0002522584,0.0002347387],"domain_scores_gemma":[0.9969381,0.0001744259,0.0003250919,0.002290662,0.0001551338,0.0001165796],"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":[0.000003358859,0.00009329172,0.0001730265,0.00002031839,0.00002065911,5.995947e-8,0.0002177501,0.000008818382,0.002288731,0.06783535,0.002166397,0.9271722],"study_design_scores_gemma":[0.0006323831,0.00003916406,0.0013036,0.0001116048,0.00003283081,0.00003123179,0.001006433,0.1140683,0.001067069,0.001272457,0.8800631,0.00037184],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05640786,0.001430392,0.8645071,0.0188893,0.0002802395,0.004020144,0.01441026,0.0006826938,0.03937205],"genre_scores_gemma":[0.15395,0.0004826672,0.8414566,0.0005631637,0.0002788544,0.0009036704,0.00114865,0.00002869111,0.001187674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9268004,"threshold_uncertainty_score":0.7170492,"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."}}