{"id":"W1637312373","doi":"10.4212/cjhp.v60i2.161","title":"Bedside Best Bang for Buck","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000263558,0.00106327,0.0006554961,0.001174859,0.00310036,0.001541567,0.0007800277,0.002551372,0.5729647],"category_scores_gemma":[0.001591426,0.0005180074,0.0009320528,0.000278032,0.0004869635,0.001167195,0.002113484,0.00315499,0.2657701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986252,"about_ca_system_score_gemma":0.001220517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003328503,"about_ca_topic_score_gemma":0.02092485,"domain_scores_codex":[0.9996254,0.00003227179,0.00001840086,0.00004191162,0.000151765,0.0001301938],"domain_scores_gemma":[0.9989489,0.0000845286,0.0000258382,0.00006015587,0.0001842967,0.0006963405],"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":[0.0001934511,0.0001936968,0.0009163836,0.00006376268,0.000007809876,0.002945371,0.00005594643,0.00006128653,0.0009063192,0.0005836138,0.8840408,0.1100314],"study_design_scores_gemma":[0.00006448308,0.0001970491,0.005460085,0.0002031786,0.00001185601,0.007377978,0.000378646,0.0002159012,0.000868539,0.001740751,0.9834215,0.00005995903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.007883403,0.002543067,0.001910858,0.02114524,0.01158596,0.0002478614,0.001009292,0.002979957,0.9506943],"genre_scores_gemma":[0.009921668,0.0008012067,0.001824001,0.004501964,0.001912543,0.00004232704,0.0002459682,0.0004707339,0.9802797],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5729647,"threshold_uncertainty_score":0.6091139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915715064521638,"score_gpt":0.3244340890057441,"score_spread":0.2952769383605277,"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."}}