{"id":"W4377967584","doi":"10.32920/23154377.v1","title":"Vocational Congruence for Esports and Gaming Video Content in Post-Secondary Education","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Algonquin College","funders":"","keywords":"Video game; Entertainment; Vocational education; Curriculum; Revenue; Video production; Business; Marketing; Advertising; Political science; Multimedia; Sociology; Computer science; Pedagogy","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":[0.004393021,0.0001412574,0.0004633295,0.001877329,0.008191899,0.01116596,0.001312436,0.001140074,0.01254841],"category_scores_gemma":[0.01624646,0.0003112989,0.0002943458,0.001818724,0.004074046,0.003322027,0.01034725,0.00262649,0.001315468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007117519,"about_ca_system_score_gemma":0.008810847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01413743,"about_ca_topic_score_gemma":0.03606888,"domain_scores_codex":[0.9931865,0.001752242,0.0002459158,0.0006521913,0.002486608,0.001676609],"domain_scores_gemma":[0.9892601,0.001818215,0.001813015,0.0002531131,0.001247993,0.005607474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002394766,0.00188516,0.464749,0.0002506364,0.00002491299,0.001201802,0.3923619,0.0001005197,0.001297161,0.02885547,0.009335595,0.09969836],"study_design_scores_gemma":[0.00001446098,0.0001967627,0.3732067,0.0003004121,0.000006757267,0.0002318424,0.5993283,0.0002678007,0.0002240792,0.003352765,0.02284389,0.00002620942],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974195,0.0003016895,0.0002724194,0.002827544,0.0000936064,0.00004972787,0.00004905085,0.000006381907,0.0222046],"genre_scores_gemma":[0.9964055,0.0001156317,0.0001011359,0.0003154044,0.00002587072,0.00002434326,0.00003195774,0.00000745358,0.002972757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413743,"threshold_uncertainty_score":0.05164152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644927009554556,"score_gpt":0.344974683250961,"score_spread":0.2804819822955054,"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."}}