{"id":"W4200139099","doi":"10.1109/ictai52525.2021.00111","title":"Incremental Feature Learning Using Constructive Neural Networks","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Constructive; Computer science; Artificial intelligence; Feature (linguistics); Artificial neural network; Machine learning; Pattern recognition (psychology)","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":[0.002367038,0.001627767,0.00134428,0.001793002,0.0005346113,0.001248024,0.003203803,0.001329332,0.001446467],"category_scores_gemma":[0.01316743,0.0007984126,0.001134952,0.001305226,0.001098161,0.002818667,0.001863723,0.001699462,0.0005553873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009786792,"about_ca_system_score_gemma":0.001097901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359492,"about_ca_topic_score_gemma":0.004953405,"domain_scores_codex":[0.9984822,0.0005122713,0.00009292331,0.0003328422,0.0004442932,0.0001354618],"domain_scores_gemma":[0.9912903,0.005713353,0.0005147615,0.0008238778,0.001493056,0.0001645969],"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":[0.0001662115,0.0001684314,0.002442308,0.00007212784,0.00009174212,0.0001773596,0.00009432074,0.7886862,0.002857162,0.005565442,0.001460433,0.1982182],"study_design_scores_gemma":[0.00000411608,0.00002134218,0.00004594545,0.000002275507,0.000005972394,0.00001245199,0.000002872854,0.9975279,0.0005564739,0.001694359,0.0001233126,0.00000301448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01842745,0.0001674669,0.9787527,0.0001291465,0.00003606492,0.00006670166,0.00004867328,0.001483609,0.0008882303],"genre_scores_gemma":[0.6317544,0.0001778363,0.3654715,0.0002713566,0.00008914551,0.0002619137,0.0003920613,0.0001805666,0.001401186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004359492,"threshold_uncertainty_score":0.01251823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066708775952343,"score_gpt":0.3279615675665108,"score_spread":0.2212906899712765,"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."}}