{"id":"W4233114231","doi":"10.1503/cmaj.1060105","title":"Safe prescribing","year":2006,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Computer science; Medicine; Data science; Information retrieval; Nursing","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":[0.004063533,0.0004986288,0.0007860392,0.0006652824,0.003697865,0.003546684,0.001140949,0.01772759,0.02519496],"category_scores_gemma":[0.03766472,0.0003661495,0.0008488246,0.0005264871,0.003247737,0.003953375,0.00269586,0.01778403,0.0105252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789272,"about_ca_system_score_gemma":0.01128072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378527,"about_ca_topic_score_gemma":0.0114191,"domain_scores_codex":[0.9924889,0.002157871,0.000591921,0.000638983,0.003423993,0.0006983898],"domain_scores_gemma":[0.9812654,0.007582019,0.001215518,0.001542776,0.004160569,0.004233708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003857786,0.00007303162,0.0009796371,0.0001274678,0.00001135701,0.002021098,0.0004072676,0.00010443,0.0003123581,0.02459643,0.9066357,0.06469266],"study_design_scores_gemma":[0.00004254468,0.0000472411,0.00122519,0.0007638724,0.000005488158,0.002723011,0.0003669962,0.0002166122,0.0001987893,0.02456316,0.969826,0.00002120788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0009675636,0.004259964,0.001979505,0.9009849,0.01618539,0.00003487799,0.00005154687,0.0001687305,0.07536753],"genre_scores_gemma":[0.0284689,0.00651809,0.00510695,0.8718639,0.02700286,0.00008788191,0.000120732,0.0001032408,0.0607275],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02519496,"threshold_uncertainty_score":0.0842855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324733001218952,"score_gpt":0.3277959191298925,"score_spread":0.274548589117703,"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."}}