{"id":"W4402740578","doi":"10.1093/asj/sjae197","title":"The Right Analysis for the Right Data in Aesthetic Surgery Research","year":2024,"lang":"en","type":"article","venue":"Aesthetic Surgery Journal","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Hospital; McMaster University","funders":"","keywords":"Medicine; Surgery","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":[0.2712054,0.002412233,0.0110182,0.01170482,0.0060989,0.02507047,0.005648274,0.01042384,0.02669671],"category_scores_gemma":[0.6749187,0.003231276,0.007925114,0.008725016,0.01679865,0.03272344,0.009525809,0.02781584,0.01345328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004142731,"about_ca_system_score_gemma":0.01888211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002605143,"about_ca_topic_score_gemma":0.002353803,"domain_scores_codex":[0.6311969,0.2577966,0.03821326,0.02235432,0.04558006,0.004858873],"domain_scores_gemma":[0.2586743,0.5135391,0.02162674,0.1315759,0.0661589,0.008425088],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004855883,0.0008594561,0.03330404,0.007115282,0.003900034,0.001808257,0.003130966,0.002003025,0.006769029,0.2320509,0.3141424,0.3900607],"study_design_scores_gemma":[0.001349829,0.0004180153,0.006353729,0.006672037,0.001924059,0.002560541,0.001999042,0.009535648,0.01163168,0.743912,0.2131369,0.0005064873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006198051,0.01175427,0.5929488,0.3451828,0.02082985,0.001284992,0.007641057,0.003257878,0.01090225],"genre_scores_gemma":[0.1493268,0.005602966,0.6990362,0.1027941,0.02381234,0.003441702,0.003825899,0.006570646,0.005589287],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7287946,"threshold_uncertainty_score":0.8987336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203535906642923,"score_gpt":0.3986156108672809,"score_spread":0.2782620202029886,"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."}}