{"id":"W2120215178","doi":"10.1148/rg.252045173","title":"Survey of Personal Digital Assistant Use in Radiology","year":2005,"lang":"en","type":"article","venue":"Radiographics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Radiological weapon; Quarter (Canadian coin); Radiology; Interventional radiology; Medical physics","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":[0.001821433,0.0001232794,0.0002713773,0.001650336,0.0002599598,0.0004037128,0.0002695709,0.0004520833,0.002289433],"category_scores_gemma":[0.006674996,0.000264292,0.0002718227,0.001786808,0.0002302598,0.0005540773,0.0003640928,0.0004207669,0.0009519781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601221,"about_ca_system_score_gemma":0.0003979874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744599,"about_ca_topic_score_gemma":0.003255451,"domain_scores_codex":[0.9980247,0.0006492273,0.0003579956,0.0001594717,0.0006421048,0.0001665194],"domain_scores_gemma":[0.9905576,0.0024209,0.004170941,0.0003237818,0.001473899,0.001052888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003943879,0.0001734288,0.9882053,0.00007426839,0.00002763014,0.00009149686,0.0009693999,0.00003784312,0.0005934673,0.00002099761,0.0007672482,0.008999432],"study_design_scores_gemma":[0.000002881219,0.0002770101,0.9969552,0.00001700942,0.00000698849,0.0003284861,0.000777546,0.000106943,0.0001372277,0.000005229861,0.001379285,0.000006150012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972494,0.0001969147,0.0001785239,0.0001555122,0.000004628499,0.00005019383,0.0007650555,0.00001758281,0.001382134],"genre_scores_gemma":[0.9964031,0.0006037576,0.0006989468,0.0002786635,0.00002419491,0.00009605443,0.0007870106,0.000007825985,0.001100349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002744599,"threshold_uncertainty_score":0.009632766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079331914040861,"score_gpt":0.407884304119287,"score_spread":0.2999511127152009,"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."}}