{"id":"W120798794","doi":"","title":"Information needs of residents during inpatient and outpatient rotations: identifying effective personal digital assistant applications.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes","funders":"","keywords":"Medicine; BitTorrent tracker; Medical education; Family medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003074202,0.0002385931,0.000261433,0.00122135,0.001266693,0.00130967,0.0004806998,0.001071019,0.001658934],"category_scores_gemma":[0.02258996,0.0004977448,0.0002618101,0.0009423169,0.0004795696,0.001696243,0.001460772,0.0007889523,0.0005107477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335559,"about_ca_system_score_gemma":0.002188459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006934132,"about_ca_topic_score_gemma":0.01354034,"domain_scores_codex":[0.9980543,0.000591149,0.0002762336,0.0001075599,0.0006055331,0.0003653102],"domain_scores_gemma":[0.9869531,0.004328958,0.003692077,0.000217928,0.002317049,0.002490868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209913,0.0005401315,0.7569663,0.0006809081,0.00004214035,0.001669238,0.1111807,0.00009533233,0.002244386,0.0001192746,0.01013616,0.1161044],"study_design_scores_gemma":[0.00002624074,0.00143549,0.762804,0.0002838263,0.00005392432,0.002589203,0.216866,0.0006335036,0.0008731717,0.0001571717,0.01420725,0.00007026072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962363,0.0006604252,0.0002233295,0.001616105,0.00002424934,0.00005421971,0.0001496438,0.00002189467,0.00101384],"genre_scores_gemma":[0.9949586,0.00119253,0.001488037,0.001206638,0.00005044469,0.0001020128,0.0001745683,0.00001021225,0.0008169157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006934132,"threshold_uncertainty_score":0.01625812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161071941311066,"score_gpt":0.2069698636621042,"score_spread":0.1953591442489936,"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."}}