{"id":"W2086636112","doi":"10.1615/jlongtermeffmedimplants.2013010025","title":"Evaluating Implants in Orthopaedic Trials: Tips for Conducting Research","year":2013,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton General Hospital; Western University","funders":"","keywords":"Blinding; Observational study; Protocol (science); Randomized controlled trial; Randomization; Medical physics; Medicine; Clinical trial; Quality (philosophy); Research design; Alternative medicine; Physical therapy; Surgery; Pathology; Mathematics","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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5828233,0.0003101136,0.006482701,0.001498576,0.0001415235,0.0004901755,0.002590768,0.0003200182,0.004050228],"category_scores_gemma":[0.6069028,0.0001425703,0.001979916,0.001164744,0.0001691841,0.0005745656,0.0002578997,0.0009877394,0.0002688662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006757028,"about_ca_system_score_gemma":0.0005570157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003890743,"about_ca_topic_score_gemma":0.00003773394,"domain_scores_codex":[0.9059008,0.04523822,0.02257373,0.000760557,0.02463537,0.0008913357],"domain_scores_gemma":[0.654626,0.307284,0.02593757,0.002715319,0.007837509,0.001599601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002204924,0.0003963091,0.1377739,0.001769258,0.000782522,0.0009516829,0.0009642142,0.00001926206,0.00838963,0.00005392999,0.05266186,0.796017],"study_design_scores_gemma":[0.04335565,0.01053724,0.7823004,0.03551622,0.003002227,0.03173762,0.004374826,0.04373658,0.01723219,0.02451758,0.001643259,0.002046276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899388,0.002166714,0.003410276,0.0009491584,0.001400182,0.002043922,0.000007816775,0.000001905077,0.00008121123],"genre_scores_gemma":[0.9972566,0.0001485869,0.001536388,0.0001082522,0.0006890538,0.00006380774,0.000003495091,0.00001837543,0.0001754213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7939707,"threshold_uncertainty_score":0.9968602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9395626944552131,"score_gpt":0.7075478078140053,"score_spread":0.2320148866412078,"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."}}