{"id":"W2883932679","doi":"10.1016/j.jtcvs.2018.07.024","title":"Modify, simplify, apply: Do we need preclinical models for surgical innovation?","year":2018,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Intracardiac injection; Medicine; Cardiac surgery; Cardiothoracic surgery; Animal model; Clinical Practice; Translational research; Innovator; Disease; Intensive care medicine; Medical physics; Surgery; Pathology; Computer science; Internal medicine; Intellectual property","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":[0.01047143,0.0004883894,0.0008790009,0.0004141348,0.001824438,0.003870602,0.001487016,0.02930699,0.00537743],"category_scores_gemma":[0.04324765,0.0003274656,0.0006797946,0.0002965186,0.006052884,0.006679018,0.001634122,0.02753572,0.003623789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540048,"about_ca_system_score_gemma":0.00384002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008984627,"about_ca_topic_score_gemma":0.00344612,"domain_scores_codex":[0.993726,0.002030241,0.000800993,0.0004829038,0.002499765,0.000460099],"domain_scores_gemma":[0.9672564,0.02096569,0.002105832,0.001218557,0.004763212,0.003690341],"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":[0.0001044677,0.0002122453,0.001828241,0.0002880552,0.00002402877,0.004580997,0.000332204,0.0002168103,0.001425492,0.02316699,0.8920684,0.07575206],"study_design_scores_gemma":[0.00006379859,0.000222422,0.0005709875,0.0003872983,0.00002106936,0.006339442,0.0008308017,0.0003997743,0.0006196568,0.03114603,0.9593403,0.00005843137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006386193,0.003448081,0.0006624628,0.9839452,0.008720858,0.00001282197,0.00001830581,0.00003158451,0.002522086],"genre_scores_gemma":[0.01113363,0.007085763,0.00334271,0.9434845,0.03013718,0.00005070226,0.0000330994,0.00003954123,0.004692799],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02930699,"threshold_uncertainty_score":0.05537891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2474088062445526,"score_gpt":0.423235650197857,"score_spread":0.1758268439533044,"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."}}