{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004550203,0.0001619749,0.0001602728,0.000927666,0.001598067,0.001862337,0.0005215466,0.0004716692,0.003968417],"category_scores_gemma":[0.03104273,0.0001890772,0.0002048189,0.0007408179,0.0006900767,0.000666844,0.000814818,0.0006656849,0.0003145909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773353,"about_ca_system_score_gemma":0.004283034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09915373,"about_ca_topic_score_gemma":0.1889507,"domain_scores_codex":[0.995338,0.002122516,0.0002515815,0.0002726262,0.001246627,0.0007688125],"domain_scores_gemma":[0.9811136,0.01067937,0.002728263,0.0002529812,0.002272937,0.002952838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003845047,0.0005658692,0.9281353,0.00008448849,0.00002770354,0.0003132937,0.01456402,0.0002023645,0.001404664,0.000289678,0.001025665,0.05300236],"study_design_scores_gemma":[0.00002322157,0.0002801327,0.9677731,0.0000981271,0.00002910468,0.0003673488,0.0260457,0.0009327222,0.0006403794,0.000272908,0.003506454,0.00003072051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963839,0.0001406992,0.0002853564,0.0003571675,0.00001195368,0.00005685513,0.00002788255,0.000004282956,0.002731859],"genre_scores_gemma":[0.9985947,0.0001237258,0.0005248914,0.00008680143,0.000007093102,0.0000180464,0.00002361357,0.000003187117,0.0006177725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09915373,"threshold_uncertainty_score":0.1971532,"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."}}