{"id":"W2223042246","doi":"","title":"Pocketsnips: Ubiquitous as YouTube but with Cutting Edge Quality – Creating Useful Videos for Teaching Medical Procedures","year":2007,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Cambrian College","funders":"","keywords":"CLIPS; Presentation (obstetrics); Multimedia; Computer science; Digital video; Quality (philosophy); Object (grammar); Video production; World Wide Web; Medicine; Artificial intelligence; Surgery","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004529065,0.0005534175,0.0006205667,0.0003636981,0.001280234,0.0007901619,0.0008351063,0.0002736895,0.0001993303],"category_scores_gemma":[0.001508687,0.0005279359,0.00008127604,0.0008184268,0.0001704824,0.0009474266,0.0002136174,0.001995813,0.00004743876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514197,"about_ca_system_score_gemma":0.00295838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052493,"about_ca_topic_score_gemma":0.001711344,"domain_scores_codex":[0.9940507,0.000802965,0.001132394,0.001385241,0.001563519,0.001065205],"domain_scores_gemma":[0.9956059,0.001105947,0.001566125,0.0005595412,0.0004342242,0.0007282926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004585632,0.0007823533,0.248289,0.000632501,0.00004898313,0.0000161901,0.008797812,0.00005903117,0.0002408797,0.6258609,0.0007224646,0.1140914],"study_design_scores_gemma":[0.004370511,0.003556918,0.7914829,0.005865098,0.00007498893,0.0001672364,0.08475778,0.004148451,0.0008552842,0.01129864,0.09026352,0.003158719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7714431,0.0004774041,0.006595676,0.03788088,0.002589995,0.002167547,0.000007873297,0.0006849933,0.1781525],"genre_scores_gemma":[0.9594686,0.0001335573,0.007545202,0.003142008,0.0006374202,0.000204269,0.00004321394,0.00006941566,0.02875631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6145622,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06475924868263208,"score_gpt":0.3484420337288405,"score_spread":0.2836827850462085,"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."}}