{"id":"W4243606233","doi":"10.3821/1913-701x-141.sp1.e1","title":"Simplified algorithm for managing new patients with GERD","year":2008,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Gastroesophageal reflux and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"GERD; Algorithm; Computer science; Medicine; Internal medicine; Disease; Reflux","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":[0.001010053,0.001455479,0.001417434,0.003153975,0.001083709,0.002177226,0.001548257,0.002370819,0.02246625],"category_scores_gemma":[0.008532883,0.0004122629,0.001446254,0.001195206,0.0003408211,0.001752496,0.001823943,0.002517349,0.006511478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764082,"about_ca_system_score_gemma":0.004969396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009092604,"about_ca_topic_score_gemma":0.01427709,"domain_scores_codex":[0.9981676,0.0005160358,0.0004507104,0.0002281792,0.0004492681,0.0001880341],"domain_scores_gemma":[0.9980677,0.0003611474,0.0001907544,0.00006418922,0.0009429946,0.0003731927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009375059,0.0006551315,0.04340278,0.0005213989,0.0001828075,0.006211457,0.0002323783,0.01547393,0.001005021,0.008532511,0.2741144,0.6487307],"study_design_scores_gemma":[0.005411115,0.002942841,0.142416,0.004881923,0.001322987,0.07232055,0.002145117,0.2631588,0.005208727,0.06190918,0.4376257,0.0006570068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06713321,0.0149328,0.6041808,0.123294,0.009964651,0.01378567,0.0147075,0.01149917,0.1405022],"genre_scores_gemma":[0.1578694,0.005843347,0.7891541,0.009672666,0.002781508,0.005171653,0.01017622,0.0003809229,0.01895023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02246625,"threshold_uncertainty_score":0.07515705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886035714129706,"score_gpt":0.2534855428191738,"score_spread":0.2246251856778768,"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."}}