{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108832,0.000633609,0.0003183915,0.001571154,0.01017025,0.00864359,0.001078379,0.001528179,0.09341677],"category_scores_gemma":[0.003201406,0.0001932793,0.0005293357,0.0008647685,0.003553559,0.003680117,0.003783015,0.00242339,0.02432906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028378,"about_ca_system_score_gemma":0.004435424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196297,"about_ca_topic_score_gemma":0.04186945,"domain_scores_codex":[0.9982246,0.0004812724,0.0000532464,0.000243584,0.0005128742,0.0004844805],"domain_scores_gemma":[0.9973136,0.0002660139,0.000161223,0.0001770526,0.0004138917,0.001668341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003373566,0.00068541,0.02594344,0.0003275611,0.0000565057,0.001851828,0.1390021,0.0001951972,0.003789237,0.1649136,0.2972831,0.3656148],"study_design_scores_gemma":[0.00001893324,0.0001098586,0.01297827,0.0003116193,0.00002705701,0.001003197,0.1347607,0.0001669902,0.0005142494,0.01510034,0.8349677,0.00004096399],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04329638,0.0008142127,0.00211971,0.008627697,0.001732727,0.00005438346,0.0002239813,0.0001274226,0.9430035],"genre_scores_gemma":[0.4373235,0.001344845,0.001850679,0.00302118,0.0004285517,0.0000822361,0.0003652495,0.0001547099,0.555429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09341677,"threshold_uncertainty_score":0.3125103,"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."}}