{"id":"W789571028","doi":"10.34105/j.kmel.2013.05.010","title":"Deciding what kind of course to take: Factors that influence modality selection in accounting continuing professional development","year":2013,"lang":"en","type":"article","venue":"Knowledge Management & E-Learning An International Journal","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Athabasca University","keywords":"Modalities; Selection (genetic algorithm); Pace; Ranking (information retrieval); Asynchronous communication; Psychology; Continuing professional development; Attrition; Modality (human–computer interaction); Sample (material); Medical education; Categorical variable; Work (physics); Accounting; Professional development; Computer science; Business; Pedagogy; Medicine; Sociology; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00142658,0.0002846164,0.0002637534,0.001088531,0.0003295102,0.002059232,0.0008354505,0.00008976282,0.0005722312],"category_scores_gemma":[0.0002619226,0.0002772562,0.00009127464,0.0006075238,0.00004039063,0.006515347,0.0003964312,0.0005418055,0.0002309274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438584,"about_ca_system_score_gemma":0.000072311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266067,"about_ca_topic_score_gemma":0.0001845426,"domain_scores_codex":[0.9974735,0.00006674181,0.000721425,0.0004079038,0.000884089,0.0004462738],"domain_scores_gemma":[0.9977951,0.00007392932,0.0007342576,0.0001205233,0.001216807,0.00005936069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003346301,0.0003604787,0.8880536,0.00008246732,0.0001097247,0.000005294442,0.003310883,0.002339719,0.0004142894,0.001454031,0.0006013726,0.1032347],"study_design_scores_gemma":[0.0005894907,0.00001146565,0.9504515,0.001033351,0.00002919171,0.000005790444,0.02663299,0.003486843,0.000146455,0.0002562597,0.01700998,0.0003467136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909093,0.00004546312,0.0006513385,0.0004398075,0.002696003,0.0003650379,2.615283e-7,0.00008488526,0.004807926],"genre_scores_gemma":[0.9968274,0.00001802455,0.0008004581,0.0003721551,0.0005603287,0.00005114692,0.00002564792,0.00003934357,0.001305502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102888,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753966482762339,"score_gpt":0.2908052335944294,"score_spread":0.273265568766806,"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."}}