{"id":"W2476987424","doi":"10.1142/9789813146976_0030","title":"FUZZY TRANSFER LEARNING IN DATA-SHORTAGE AND RAPIDLY CHANGING ENVIRONMENTS","year":2016,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economic shortage; Computer science; Transfer of learning; Fuzzy logic; Transfer (computing); Artificial intelligence; Operating system","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":[0.001899915,0.0004582076,0.001264933,0.0006560257,0.0005818859,0.0008217151,0.001608391,0.001414067,0.001415273],"category_scores_gemma":[0.008859246,0.0004488555,0.0004775274,0.0007474732,0.001006493,0.002617105,0.001617664,0.001421842,0.0002533742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007666105,"about_ca_system_score_gemma":0.0006137564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005245142,"about_ca_topic_score_gemma":0.003382817,"domain_scores_codex":[0.9995263,0.0001370491,0.00002797225,0.0001541145,0.00009079982,0.00006378179],"domain_scores_gemma":[0.9968569,0.002350729,0.0001431272,0.0002571029,0.0002838511,0.0001082707],"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":[0.0003303869,0.0002273195,0.002230425,0.0002023245,0.0001067384,0.0003359875,0.0002322621,0.8275634,0.005944717,0.01111797,0.00190596,0.1498026],"study_design_scores_gemma":[0.00000529357,0.00002495971,0.0003399288,0.000003710424,0.000006409767,0.00002827003,0.00002425262,0.9906009,0.0008114006,0.007972647,0.0001763103,0.000005802948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171425,0.0006317896,0.8802264,0.0003853763,0.00007865969,0.00003956155,0.00008465602,0.0003413167,0.001069787],"genre_scores_gemma":[0.9364918,0.0003020133,0.0601012,0.0001407746,0.00008521488,0.00005727482,0.0002126263,0.00005689618,0.00255214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005245142,"threshold_uncertainty_score":0.01042926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779511035448161,"score_gpt":0.2420411789288892,"score_spread":0.2142460685744076,"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."}}