{"id":"W2381025918","doi":"","title":"The Design and Implement of E-Learning Platform of Medical Imaging Base Leadtools","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DICOM; Computer science; Picture archiving and communication system; Multimedia; Resource (disambiguation); Base (topology); Medical imaging; Software engineering; Human–computer interaction; Embedded system; Artificial intelligence; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006321715,0.0004524944,0.0002929042,0.0007045372,0.0004026169,0.001336498,0.001589188,0.0007740267,0.005448544],"category_scores_gemma":[0.001718704,0.0002747186,0.0002982236,0.0002857301,0.0002409292,0.001175982,0.0009686199,0.0007490659,0.002396825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457153,"about_ca_system_score_gemma":0.001283345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008213084,"about_ca_topic_score_gemma":0.0004432349,"domain_scores_codex":[0.9992067,0.0001250645,0.00005885,0.0001441437,0.0003518198,0.0001133332],"domain_scores_gemma":[0.999206,0.0001081457,0.0000360668,0.0001141601,0.000410219,0.0001254404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001021827,0.0007012088,0.008927628,0.0007945843,0.0001062816,0.001249108,0.00184242,0.0080231,0.1708619,0.0371649,0.04279751,0.7265095],"study_design_scores_gemma":[0.0005015554,0.001101376,0.009759789,0.0003042688,0.0003395455,0.003276779,0.0006023615,0.1440415,0.3449735,0.01357035,0.481269,0.000259953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04982179,0.0002982818,0.9095869,0.0007098811,0.0003031724,0.001234611,0.0002811944,0.0173869,0.02037731],"genre_scores_gemma":[0.4217207,0.0006603717,0.5170124,0.001119159,0.0002068785,0.001429453,0.001579398,0.001442431,0.05482921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005448544,"threshold_uncertainty_score":0.01822722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218901136408008,"score_gpt":0.3736683450454337,"score_spread":0.3414793336813536,"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."}}