{"id":"W1865370897","doi":"10.1308/003588407x202128c","title":"Personal Digital Assistant (PDA)-Based Drug Formularies","year":2007,"lang":"en","type":"article","venue":"PubMed Central","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formulary; Medicine; Instant; World Wide Web; Instant messaging; Computer science; Internet privacy; Advertising; Family medicine; Business; Biology","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":[0.0004922614,0.0001401841,0.0001938374,0.0000359239,0.0001417347,0.0000842685,0.00006211234,0.00004530959,0.0001867527],"category_scores_gemma":[0.0003666891,0.0001068966,0.0001287991,0.0001285712,0.0001176521,0.0002297061,0.00003194848,0.0002519428,0.00002414711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085459,"about_ca_system_score_gemma":0.00009199772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001991545,"about_ca_topic_score_gemma":0.00003241542,"domain_scores_codex":[0.9978278,0.00001158033,0.0002007871,0.0001934645,0.0003820718,0.001384357],"domain_scores_gemma":[0.9988745,0.0002273747,0.00005681616,0.00009224374,0.000038316,0.0007106994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004275965,0.000937858,0.7419376,0.0002042038,0.0004466028,0.0006592789,0.001249947,0.000002168208,0.0002179137,0.001527605,0.01058591,0.2379549],"study_design_scores_gemma":[0.001360056,0.00003633554,0.4981558,0.00001134413,0.0000962444,0.00002291036,0.0002792057,0.0001957942,0.001572686,0.00004017539,0.4981039,0.0001255306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433777,0.001471211,0.001409032,0.01167835,0.0007667353,0.000521468,0.00005116333,0.0001295672,0.04059476],"genre_scores_gemma":[0.9962552,0.00003076383,0.0002021195,0.002012602,0.0005884269,0.00001743066,0.00002930386,0.00001416802,0.0008499902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.487518,"threshold_uncertainty_score":0.4359119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656449696202158,"score_gpt":0.3024054798249254,"score_spread":0.2658409828629038,"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."}}