{"id":"W3159759650","doi":"","title":"Improving Machine Learning Performance Using Conceptual Modeling.","year":2021,"lang":"en","type":"article","venue":"AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; HEC Montréal","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001092555,0.0009054311,0.0008424924,0.0005583417,0.0008626127,0.0006972578,0.001555258,0.0002434297,0.00001430244],"category_scores_gemma":[0.000531505,0.0009554477,0.0001779859,0.00141193,0.00009879786,0.001507424,0.001898082,0.002535431,0.00003681378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554164,"about_ca_system_score_gemma":0.0003629095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003659728,"about_ca_topic_score_gemma":0.00002588286,"domain_scores_codex":[0.9954078,0.0002709948,0.0008236145,0.001520338,0.0006290519,0.001348244],"domain_scores_gemma":[0.9972632,0.0003902917,0.0003649993,0.001215993,0.0004136839,0.0003518641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002432044,0.0001299336,0.02856752,0.000278325,0.0001497019,0.000188359,0.00263836,0.915971,0.04070779,0.004301061,0.000003656304,0.007039967],"study_design_scores_gemma":[0.001055131,0.0003796869,0.0001717725,0.0008678828,0.00006822369,0.0003782259,0.00007993678,0.9813958,0.01280011,0.000006191065,0.001635939,0.001161037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.348819,0.001431894,0.6450409,0.00007021793,0.0005129011,0.000184138,0.000002747058,0.003098784,0.0008394876],"genre_scores_gemma":[0.7896287,0.00008764842,0.2094931,0.0000252776,0.0001572567,0.00003277612,0.00003792278,0.0001934524,0.0003438716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4408097,"threshold_uncertainty_score":0.9997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204121904199848,"score_gpt":0.2146284793415042,"score_spread":0.2025872602995057,"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."}}