{"id":"W7044161787","doi":"","title":"Videogames, Engagement, Empathy and Meaningful Learning in the College Classroom","year":2022,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Agricultural and Financial Auditing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Enseignement Supérieur et de la Recherche","keywords":"Empathy; Meaningful learning; Context (archaeology); Experiential learning; Qualitative research; Meaningful use; Higher education; Narrative","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009867866,0.0005929515,0.0005187526,0.0002020344,0.001143914,0.000368835,0.0009944632,0.0001412657,0.04317615],"category_scores_gemma":[0.002596161,0.0002753159,0.0002694601,0.001335172,0.0003545539,0.0003294404,0.0009145242,0.00129623,0.0002146559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212915,"about_ca_system_score_gemma":0.003066048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08822148,"about_ca_topic_score_gemma":0.9333643,"domain_scores_codex":[0.9956425,0.001157606,0.0006514856,0.0008320824,0.001148668,0.0005676139],"domain_scores_gemma":[0.9879539,0.01106524,0.0006957807,0.0001189862,0.00003075919,0.0001353449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002086259,0.0009571998,0.5581049,0.0002225511,0.0002621268,0.000222715,0.02377753,0.0002964116,0.00263523,0.1255844,0.2658897,0.02183851],"study_design_scores_gemma":[0.0002812474,0.0002281583,0.4089155,0.00009969369,0.00003422515,0.00003885285,0.004646006,0.000108566,0.000008844554,0.0002623297,0.5850055,0.0003710238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5776544,0.01028188,0.00001000397,0.0479784,0.000166522,0.000868585,0.0003681985,0.00009847033,0.3625735],"genre_scores_gemma":[0.6544348,0.002081687,0.000112478,0.002821187,0.000881797,0.0002822074,0.00008777072,0.00002616433,0.3392719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8451428,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146984389320952,"score_gpt":0.1973453529255777,"score_spread":0.1858755090323682,"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."}}