{"id":"W1986233603","doi":"10.3138/jvme.35.1.118","title":"Effective Information Design for PDAs in Veterinary Medical Education","year":2008,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Computer science; Limit (mathematics); Mobile device; Field (mathematics); Multimedia; Scale (ratio); World Wide Web; Psychology; Mathematics","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":[0.005249406,0.0008190407,0.0005902278,0.001953855,0.001541155,0.005248482,0.001628887,0.001842514,0.006900639],"category_scores_gemma":[0.02116773,0.0008939136,0.0005221377,0.001353918,0.001231947,0.005292772,0.002430386,0.001024843,0.002092676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366036,"about_ca_system_score_gemma":0.00183161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197711,"about_ca_topic_score_gemma":0.001300196,"domain_scores_codex":[0.9930151,0.004177841,0.0005683004,0.0006647134,0.001326854,0.0002471528],"domain_scores_gemma":[0.9880981,0.00783717,0.0008377609,0.001112574,0.00172959,0.0003848261],"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":[0.0003135141,0.0003586963,0.004459412,0.001993994,0.00004967719,0.000758574,0.007410165,0.01447352,0.01753278,0.06804564,0.01013405,0.8744701],"study_design_scores_gemma":[0.0004051982,0.00174155,0.007813672,0.002238859,0.0004436534,0.002970247,0.01564744,0.1282489,0.06283341,0.1644886,0.6128497,0.0003187241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0440138,0.003074021,0.9151979,0.004018862,0.0001945381,0.0007873281,0.00009526611,0.001994184,0.03062408],"genre_scores_gemma":[0.2283292,0.001994269,0.7603995,0.0003515511,0.00007282179,0.0004374061,0.0001458498,0.0001922201,0.008077141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006900639,"threshold_uncertainty_score":0.02776188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04572498100287253,"score_gpt":0.3651222696439858,"score_spread":0.3193972886411133,"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."}}