{"id":"W4231708651","doi":"10.32920/ryerson.14661912","title":"An Investigation of the Learning and Forgetting of Workers in Dual Resource Constrained Systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Forgetting; Flexibility (engineering); Dual (grammatical number); Task (project management); Similarity (geometry); Transfer of learning; Resource (disambiguation); Cognition; Cognitive psychology; Factor (programming language); Psychology; Computer science; Artificial intelligence; Knowledge management; Mathematics; Economics; Management; Statistics","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":[0.002928813,0.0007232632,0.001581749,0.0005822423,0.0004790275,0.001476762,0.001396063,0.001307773,0.002497526],"category_scores_gemma":[0.01276843,0.0006514535,0.0008946557,0.0004517339,0.001610938,0.002417948,0.001548364,0.001454735,0.0001718969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029378,"about_ca_system_score_gemma":0.0009824459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006941271,"about_ca_topic_score_gemma":0.002452575,"domain_scores_codex":[0.9990295,0.000346175,0.0000543053,0.0001847371,0.0001326215,0.0002525847],"domain_scores_gemma":[0.9906924,0.006218068,0.001293576,0.0006524149,0.0005832781,0.0005602303],"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":[0.0004500028,0.0001934314,0.008976622,0.0001661736,0.0001633196,0.000531889,0.0005178271,0.9169144,0.003001866,0.05318531,0.0003605297,0.01553859],"study_design_scores_gemma":[0.00002311801,0.00007770234,0.00094989,0.00000674265,0.00001713553,0.00004245763,0.0000477783,0.98373,0.0002705359,0.01469196,0.0001271492,0.00001553666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5802405,0.0004409951,0.4147432,0.0007055991,0.00004194336,0.00007567935,0.00008517391,0.00009270757,0.003574238],"genre_scores_gemma":[0.9900496,0.0001335042,0.008425405,0.00003820702,0.00002302984,0.00003097518,0.00002222093,0.00001054438,0.001266551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006941271,"threshold_uncertainty_score":0.01548922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07512847132256524,"score_gpt":0.3622890341761231,"score_spread":0.2871605628535578,"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."}}