{"id":"W4400747077","doi":"10.2196/59066","title":"A Quarter-Century of Online Informatics Education: Learners Served and Lessons Learned","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Informatics; Quarter (Canadian coin); Online learning; Computer science; Health Administration Informatics; Medical education; Data science; Multimedia; Medicine; Nursing; Engineering; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008830666,0.0003947357,0.0005365895,0.001421149,0.003278359,0.01162812,0.001180823,0.002946893,0.004033037],"category_scores_gemma":[0.01830801,0.0002715015,0.0003030889,0.001320911,0.01035832,0.02132213,0.006552826,0.008555187,0.001085215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924911,"about_ca_system_score_gemma":0.004249949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147614,"about_ca_topic_score_gemma":0.001983181,"domain_scores_codex":[0.9931414,0.004024034,0.0004156097,0.00048195,0.001468239,0.0004687986],"domain_scores_gemma":[0.9864671,0.008370894,0.0006118649,0.0008340283,0.001905815,0.001810373],"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":[0.0001336522,0.0003340824,0.004192607,0.001562883,0.00002968804,0.0009343419,0.09384349,0.0004014048,0.0006649495,0.1748707,0.08297773,0.6400545],"study_design_scores_gemma":[0.000007824023,0.0001561793,0.001923497,0.003659531,0.00001240078,0.002005718,0.05921191,0.0003185791,0.00098369,0.04117182,0.8904857,0.0000630599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09989327,0.3540326,0.03074629,0.3695535,0.01985694,0.000114957,0.0001965907,0.0004057776,0.1252001],"genre_scores_gemma":[0.561716,0.2749135,0.01929358,0.07857314,0.007996233,0.0001739687,0.0001754595,0.0005613431,0.05659683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01162812,"threshold_uncertainty_score":0.04670161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061026592211258,"score_gpt":0.4051591480587994,"score_spread":0.3445488821366869,"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."}}