{"id":"W1717831585","doi":"","title":"Cisapride and patient information leaflets","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Medical Research and Practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Pharmacy; Cisapride; Medicine; Computer science; World Wide Web; Data science; Family medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00703206,0.000195819,0.0003465012,0.000723358,0.001685287,0.003915744,0.0006593757,0.009212216,0.03030962],"category_scores_gemma":[0.07829715,0.0003392161,0.000523579,0.0005856921,0.00116328,0.003767539,0.001686499,0.00703226,0.007189801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612431,"about_ca_system_score_gemma":0.002177465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307249,"about_ca_topic_score_gemma":0.003099928,"domain_scores_codex":[0.9924534,0.003980113,0.0008688416,0.0002977168,0.001993854,0.0004061018],"domain_scores_gemma":[0.9046347,0.08091502,0.004702088,0.001970579,0.005000032,0.002777559],"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":[0.0002808685,0.0001033333,0.00120494,0.0002111929,0.00001187039,0.001121661,0.0007809904,0.00005788099,0.0003777271,0.02191504,0.8545794,0.1193551],"study_design_scores_gemma":[0.0001197871,0.0002207392,0.002704004,0.0005736944,0.00002328452,0.001899761,0.0007883625,0.0002363849,0.0006865012,0.01227081,0.9804386,0.00003809515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003851578,0.005229448,0.001352516,0.9118012,0.01740545,0.00004361434,0.0001661043,0.0001420865,0.06000808],"genre_scores_gemma":[0.08914991,0.01460655,0.005748522,0.7001642,0.05758006,0.000173934,0.000439121,0.0002416503,0.131896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03030962,"threshold_uncertainty_score":0.1013958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06298746036674514,"score_gpt":0.3664190453947836,"score_spread":0.3034315850280385,"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."}}