{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006970261,0.0008220683,0.0009956753,0.001301912,0.0007068349,0.003028188,0.002273802,0.001690172,0.004705252],"category_scores_gemma":[0.04156971,0.0004892423,0.0008483693,0.002222698,0.0005531855,0.00682799,0.001715109,0.002398193,0.002049976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143238,"about_ca_system_score_gemma":0.001783852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290169,"about_ca_topic_score_gemma":0.002779918,"domain_scores_codex":[0.9966726,0.001565818,0.0001822737,0.0003959877,0.001009657,0.0001736579],"domain_scores_gemma":[0.9800944,0.01314114,0.0005624127,0.003106707,0.002808054,0.0002872498],"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":[0.0005536939,0.0006618401,0.005839117,0.0003734044,0.0002142633,0.0001291629,0.0002730549,0.2478874,0.007469156,0.09582628,0.02925259,0.6115201],"study_design_scores_gemma":[0.00002478861,0.00004957659,0.0001979417,0.00001472602,0.00002279593,0.00002330936,0.00003159657,0.9680972,0.003160535,0.0253732,0.002994549,0.000009855471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03105318,0.001833669,0.9527873,0.00213276,0.0003177026,0.0001201352,0.000277567,0.003868025,0.007609699],"genre_scores_gemma":[0.5269833,0.001194038,0.4667995,0.0004293274,0.0001545487,0.000171907,0.001145987,0.0004076269,0.002713667],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006970261,"threshold_uncertainty_score":0.03686267,"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."}}