{"id":"W1871582135","doi":"","title":"More than half of MDs under age 35 now using PDAs.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Medicine; Computer science; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004072856,0.0001197009,0.0002306051,0.0002291972,0.00007902623,0.00004971634,0.0001470444,0.0001350254,0.00003155359],"category_scores_gemma":[0.0001022123,0.0001081416,0.00006171731,0.0004331078,0.00006378238,0.0002493131,0.00005886835,0.0001114928,0.00002089964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709163,"about_ca_system_score_gemma":0.00001761877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425741,"about_ca_topic_score_gemma":0.0008435362,"domain_scores_codex":[0.9989448,0.00001325005,0.0002730315,0.0001994204,0.0001598517,0.0004095997],"domain_scores_gemma":[0.9994488,0.00001365753,0.0001798768,0.000265603,0.00007521413,0.00001678932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002853119,0.0002733404,0.206802,0.001625419,0.0001730312,0.0001289649,0.0001052364,0.0001077151,0.000586909,0.623265,0.004248757,0.1626551],"study_design_scores_gemma":[0.0009971615,0.000006575824,0.3629467,0.00007440886,0.0000640778,0.00001857877,0.0007816923,0.0003730806,0.0005396826,0.01171103,0.6219984,0.0004885327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649966,0.0002209509,0.0005441366,0.002044915,0.000785666,0.0006145682,0.000001400345,0.000161227,0.03063057],"genre_scores_gemma":[0.9983976,0.000003674756,0.0001184586,0.0005879672,0.0002773635,0.00009886832,0.000003653105,0.00002409005,0.0004883232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6177497,"threshold_uncertainty_score":0.5178719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531245420982679,"score_gpt":0.2500122402395646,"score_spread":0.1946997860297378,"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."}}