{"id":"W7132868177","doi":"","title":"Evaluation of Post-Stroke Medication Prescription Practices","year":2017,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Medical prescription; Pharmacy practice; MEDLINE; Multistate Pharmacy Jurisprudence Examination","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":[0.002730345,0.0003098442,0.0009575899,0.003186566,0.00080973,0.0009525869,0.0005772507,0.0005017323,0.005203967],"category_scores_gemma":[0.009608418,0.0001845801,0.001018279,0.001770591,0.0002990635,0.001007111,0.0006731321,0.0004716754,0.001382538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374727,"about_ca_system_score_gemma":0.001666759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160436,"about_ca_topic_score_gemma":0.02462378,"domain_scores_codex":[0.9975339,0.0006340151,0.0005977673,0.0001921953,0.0008124828,0.0002296058],"domain_scores_gemma":[0.9930794,0.001165454,0.001643303,0.0001670755,0.00287102,0.001073774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002065507,0.001070132,0.9142874,0.0004044579,0.0002665081,0.000210878,0.001001044,0.0001750556,0.0002705239,0.00008871426,0.002497296,0.07766246],"study_design_scores_gemma":[0.00004055868,0.001399417,0.9957832,0.0000943409,0.00006988431,0.0001731816,0.0007260872,0.0002890608,0.0002158035,0.00003803608,0.00115358,0.0000168935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824566,0.0008608285,0.0003284826,0.0002648287,0.00003367661,0.0008088046,0.002988709,0.00003895335,0.01221907],"genre_scores_gemma":[0.9886957,0.001302657,0.001039611,0.00009001591,0.00003831193,0.0006364961,0.002813306,0.00001154447,0.005372344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160436,"threshold_uncertainty_score":0.02307367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09883779025316003,"score_gpt":0.4399666732998878,"score_spread":0.3411288830467277,"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."}}