{"id":"W3200165422","doi":"10.22230/cjc.2021v46n3a4175","title":"Playing with/at Work","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003280274,0.00002708318,0.00005671426,0.00005248484,0.0004218394,0.0001108954,0.0001820151,0.0000295545,0.0001535187],"category_scores_gemma":[0.00005759115,0.00002707222,0.00002613141,0.0001930411,0.00009607786,0.0004747856,0.000003921778,0.00009010029,0.00001529785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005771,"about_ca_system_score_gemma":0.00112106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369205,"about_ca_topic_score_gemma":0.2374714,"domain_scores_codex":[0.9995829,0.00008429064,0.0001384297,0.00002328444,0.0000709446,0.0001000934],"domain_scores_gemma":[0.9993518,0.00006034864,0.00009636916,0.0001184398,0.0001783099,0.0001947492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008824654,0.00005591712,0.2511047,0.00001737817,0.000165316,0.0001120297,0.1071744,0.001152586,0.00002609613,0.295688,0.01818908,0.3262262],"study_design_scores_gemma":[0.0002990784,0.00002252364,0.02123332,0.0002148343,0.00001820793,0.00003864462,0.005575223,0.000005552361,0.0001143546,0.002712514,0.969649,0.0001167337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4077382,0.001673043,0.000324731,0.0103595,0.0001017833,0.0000426422,0.000001607756,0.000004665969,0.5797538],"genre_scores_gemma":[0.9981509,0.000141673,0.0007494875,0.0001820645,0.00002803059,5.974779e-7,0.00000518955,0.000002642319,0.0007394471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9514599,"threshold_uncertainty_score":0.7764428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098054891715744,"score_gpt":0.2410066883989323,"score_spread":0.2200261394817749,"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."}}