{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003441991,0.00007978263,0.0002432774,0.0001217185,0.00008512357,0.0000886277,0.0002129181,0.0001216213,0.00003214658],"category_scores_gemma":[0.001076565,0.0000536864,0.00005199404,0.0004664889,0.0003441039,0.00007475018,0.0002636491,0.0003021731,4.257827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001110914,"about_ca_system_score_gemma":0.0001351858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529148,"about_ca_topic_score_gemma":0.00004138844,"domain_scores_codex":[0.9977662,0.0007622421,0.0006972617,0.0003050929,0.000397669,0.00007153562],"domain_scores_gemma":[0.9977795,0.0009241797,0.0007119182,0.0003760634,0.0001697701,0.0000385467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002039005,0.00003331469,0.8098644,0.000106397,0.00002792346,8.415534e-7,0.009113776,0.1291571,0.01158093,0.03414509,0.0001122115,0.005837644],"study_design_scores_gemma":[0.000719433,0.00007063753,0.222368,0.001657512,0.00006000424,0.00004220401,0.5744333,0.09817608,0.02267793,0.07834532,0.0009151786,0.0005344106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917117,0.00007418881,0.005519901,0.0003049367,0.00007955915,0.0002272744,0.000004531177,0.00001173821,0.002066188],"genre_scores_gemma":[0.9986632,0.000001908876,0.000596974,0.00001445469,0.00002178936,0.00001440858,0.000006256547,0.000004315939,0.0006766802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5874964,"threshold_uncertainty_score":0.2189268,"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."}}