{"id":"W2113650881","doi":"10.3402/meo.v8i.4341","title":"A Mixed Learning Technology Approach for Continuing Medical Education","year":2003,"lang":"en","type":"article","venue":"Medical Education Online","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Teleconference; Computer science; Multimedia; The Internet; Distance education; Educational technology; Presentation (obstetrics); Population; Videoconferencing; Continuing medical education; Medical education; World Wide Web; Psychology; Medicine; Continuing education; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00231383,0.0001297509,0.0002263532,0.0002466358,0.0004070622,0.00004053123,0.0003389837,0.0004997054,0.001610591],"category_scores_gemma":[0.05012683,0.0001247138,0.00007414808,0.0007052256,0.0003145133,0.0001170044,0.00002654598,0.00070487,0.00001782394],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164633,"about_ca_system_score_gemma":0.01384513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009446291,"about_ca_topic_score_gemma":0.0002889087,"domain_scores_codex":[0.9975643,0.0003980731,0.0003843759,0.0003470443,0.0008899829,0.0004162759],"domain_scores_gemma":[0.9985935,0.0002269749,0.0001588509,0.0001510269,0.0003643793,0.0005052609],"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":[0.000005970924,0.002173051,0.003661521,0.00003051775,0.00001168186,4.26139e-7,0.001298568,0.000004279812,0.000008613714,0.09607787,0.005503885,0.8912236],"study_design_scores_gemma":[0.0003915185,0.00004940976,0.0001556314,0.000115455,0.0000193561,0.00001059864,0.03178683,0.001410254,0.00001747949,0.001895365,0.9639881,0.0001599636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.684118,0.00365411,0.05891509,0.1928256,0.006490494,0.001731021,0.000005982275,0.000967568,0.05129205],"genre_scores_gemma":[0.827418,0.000503396,0.1466338,0.002725395,0.003652087,0.000368774,0.00055593,0.00005189607,0.01809075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9584842,"threshold_uncertainty_score":0.9993021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836068628375025,"score_gpt":0.3658497765447808,"score_spread":0.3474890902610305,"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."}}