{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8286428,0.007057918,0.02451068,0.01457203,0.005313954,0.02624662,0.01126612,0.03307265,0.008980649],"category_scores_gemma":[0.9112015,0.007546163,0.01665578,0.01570084,0.03186401,0.04738337,0.01406829,0.04770683,0.006674807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101961,"about_ca_system_score_gemma":0.04981603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699141,"about_ca_topic_score_gemma":0.004538235,"domain_scores_codex":[0.09335633,0.7965564,0.07311066,0.007240091,0.0284064,0.001330217],"domain_scores_gemma":[0.01804013,0.9001462,0.0158702,0.03768634,0.02560279,0.002654457],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006003909,0.001357456,0.004775889,0.07993519,0.009527614,0.0009563472,0.01201257,0.005817702,0.001474871,0.1191695,0.1354015,0.6235674],"study_design_scores_gemma":[0.01041831,0.003390791,0.00417229,0.1136196,0.005324994,0.001061922,0.00507461,0.01156832,0.001532755,0.7084811,0.134003,0.001352249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00182919,0.1197545,0.3404382,0.482397,0.03465538,0.01323402,0.0006888242,0.001896967,0.005106035],"genre_scores_gemma":[0.02322252,0.02872537,0.8495892,0.05793876,0.01514814,0.02393695,0.0002448577,0.0005949496,0.000599214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1713572,"threshold_uncertainty_score":0.211314,"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."}}