{"id":"W3161314466","doi":"10.1080/10437797.2021.1912676","title":"Teaching Note—Preparing Social Workers for the Digital Future of Social Work Practice","year":2021,"lang":"en","type":"article","venue":"Journal of Social Work Education","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social work; Information and Communications Technology; Documentation; Public relations; Equity (law); Sociology; Work (physics); Medical education; Pedagogy; Political science; Medicine; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003249801,0.0001825051,0.0003727091,0.0001003248,0.007060192,0.0005556105,0.0004505298,0.0003414911,0.000399845],"category_scores_gemma":[0.004534383,0.0001726765,0.0005190649,0.00226736,0.0002892756,0.001140266,0.00004930373,0.0009318247,0.00001755647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698071,"about_ca_system_score_gemma":0.003895978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000555069,"about_ca_topic_score_gemma":0.00004322279,"domain_scores_codex":[0.9968586,0.0008875154,0.0007559875,0.0002061257,0.0008963791,0.0003953994],"domain_scores_gemma":[0.9933897,0.002825095,0.001968337,0.0001094354,0.001587525,0.0001199248],"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":[0.000454912,0.0006890341,0.001063653,0.00002461452,0.0002579679,9.801394e-7,0.2862405,0.000004155675,0.0000151113,0.08439664,0.2719504,0.3549021],"study_design_scores_gemma":[0.00022674,0.00001332056,0.006316425,0.00002089496,0.0002143947,0.000003207361,0.3102762,2.504167e-7,0.000005357835,0.001506787,0.68129,0.0001264097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03093501,0.001949728,0.001495868,0.8262488,0.01708473,0.0006997101,0.00001245719,0.0000552147,0.1215184],"genre_scores_gemma":[0.9562457,0.00005294385,0.0024461,0.00127408,0.02650231,0.00002946643,0.00001717792,0.00003991004,0.01339226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9253107,"threshold_uncertainty_score":0.9942325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238970890297266,"score_gpt":0.3869367819643295,"score_spread":0.3645470730613569,"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."}}