{"id":"W2417267483","doi":"10.1615/jlongtermeffmedimplants.v19.i3.10","title":"SPECIAL ISSUE: DESIGNING IMPLANT TRIALSGUEST EDITOR: MOHIT BHANDARIPreface: Designing Implant Trials in 2010: A Recipe for Success","year":2009,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton General Hospital","funders":"","keywords":"Clinical trial; Audit; Medicine; Food and drug administration; Regulatory science; Drug trial; Clinical study design; Randomized controlled trial; Medical physics; Business; Risk analysis (engineering); Surgery; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09885827,0.0004580963,0.005013139,0.00116062,0.0001830903,0.0001785312,0.001060558,0.0007259076,0.0003338072],"category_scores_gemma":[0.05546636,0.0004394652,0.0006208139,0.0002712032,0.0001096341,0.0008203956,0.00006754398,0.0007863702,0.00006400776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333101,"about_ca_system_score_gemma":0.0008318053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001766776,"about_ca_topic_score_gemma":0.00009262805,"domain_scores_codex":[0.9833667,0.002223164,0.01205443,0.0005667412,0.0008416553,0.0009473361],"domain_scores_gemma":[0.9681278,0.02006348,0.01039449,0.0004000811,0.0002149328,0.0007991722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00376175,0.00109227,0.03336775,0.003036065,0.0006871662,0.0009222295,0.002828145,0.0001315516,0.0009947571,0.0005208289,0.9241532,0.02850429],"study_design_scores_gemma":[0.1794915,0.02765449,0.6129403,0.04756924,0.001370356,0.01330747,0.001422794,0.003735126,0.02566862,0.02017615,0.0599395,0.006724479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750828,0.004310218,0.03724961,0.01767972,0.06065314,0.004194683,0.0005933843,0.00004377321,0.0001926973],"genre_scores_gemma":[0.846641,0.002675206,0.006290779,0.004692536,0.139193,0.0001275792,0.0001113169,0.0001213022,0.0001473099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8642137,"threshold_uncertainty_score":0.9998057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2289867725801455,"score_gpt":0.4657916345534098,"score_spread":0.2368048619732643,"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."}}