{"id":"W1526028571","doi":"10.1007/3-540-44886-1_16","title":"Selective Transfer of Task Knowledge Using Stochastic Noise","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Generalization; Task (project management); Context (archaeology); Multi-task learning; Artificial intelligence; Noise (video); Artificial neural network; Transfer of learning; Machine learning; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.0008770414,0.0004917306,0.0006084513,0.0009984004,0.0002328657,0.000206493,0.001856642,0.0002835609,0.00002319711],"category_scores_gemma":[0.0001126027,0.0004810911,0.000169669,0.001061256,0.0006721042,0.0004795203,0.0003277669,0.0008184651,0.0000229659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031198,"about_ca_system_score_gemma":0.0008319127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117576,"about_ca_topic_score_gemma":0.00002079876,"domain_scores_codex":[0.9967189,0.00008944856,0.0005923999,0.001242591,0.000759729,0.0005968977],"domain_scores_gemma":[0.9978824,0.0004765646,0.0002029047,0.0008223617,0.000435534,0.000180282],"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":[0.00001956406,0.0001197274,0.00001930135,0.0001335044,0.00004661356,0.00003918529,0.008240653,0.6587102,0.007384913,0.044754,0.00001407833,0.2805182],"study_design_scores_gemma":[0.0005211797,0.0002146261,0.00005617801,0.0005728976,0.00002028847,0.00008904997,7.823687e-7,0.9555806,0.002808546,0.03864789,0.0006782426,0.000809728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00009672782,0.0005520858,0.9934421,0.00007478852,0.001158589,0.0004606266,0.000003594377,0.000071735,0.004139794],"genre_scores_gemma":[0.6192958,0.0000116443,0.379474,0.000599559,0.0001958997,0.00001010011,0.000002500913,0.00005569151,0.0003547595],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6191991,"threshold_uncertainty_score":0.9997641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470324733110721,"score_gpt":0.2606277837755209,"score_spread":0.2359245364444137,"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."}}