{"id":"W2937495499","doi":"10.1097/ceh.0000000000000243","title":"Adoption and Use of Mobile Learning in Continuing Professional Development by Health and Human Services Professionals","year":2019,"lang":"en","type":"article","venue":"Journal of Continuing Education in the Health Professions","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Flexibility (engineering); Social media; Autonomy; Mobile device; Medical education; Mobile technology; Professional development; Knowledge management; Health care; Public relations; Medicine; Psychology; Business; Computer science; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006638251,0.0001443534,0.0001555414,0.0009879859,0.001105614,0.002201273,0.0004336464,0.0006438147,0.001187617],"category_scores_gemma":[0.02374485,0.0001505545,0.0002107904,0.000857033,0.000913301,0.0009598717,0.001972939,0.0007603792,0.0001342349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003015447,"about_ca_system_score_gemma":0.00788178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776977,"about_ca_topic_score_gemma":0.02668902,"domain_scores_codex":[0.9938838,0.003354322,0.0002882152,0.0003290476,0.001548884,0.0005956649],"domain_scores_gemma":[0.9822491,0.01011864,0.002857008,0.0004307046,0.002200633,0.002143859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001281626,0.0007253906,0.3797323,0.0008751713,0.00002904267,0.0006667054,0.1546615,0.000168472,0.00170881,0.0007402753,0.00135963,0.4592045],"study_design_scores_gemma":[0.00009996623,0.001798322,0.7749009,0.003333691,0.00009092294,0.002996397,0.1806751,0.001714586,0.002051046,0.0009325313,0.03132333,0.00008316556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909077,0.0009845253,0.0006304496,0.00193857,0.00001172481,0.0001402076,0.00003135045,0.00001249494,0.005343017],"genre_scores_gemma":[0.9966696,0.0008262151,0.001861362,0.0001979024,0.000009139774,0.00005391333,0.00002173104,0.000002342333,0.0003578061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01776977,"threshold_uncertainty_score":0.03533262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749602240437658,"score_gpt":0.4348787049331678,"score_spread":0.4073826825287912,"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."}}