{"id":"W2070973960","doi":"10.1109/tbme.2006.886619","title":"Modelling Skin Pelvic Landmark Coordinates Into Corresponding Internal Bone for Wheelchair Users","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Landmark; Wheelchair; Computer science; Computer vision; Artificial intelligence","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":[0.0003951715,0.001013939,0.0004916256,0.0006850382,0.0002009015,0.0007021751,0.0004106915,0.0003909775,0.003901032],"category_scores_gemma":[0.003667219,0.0005434321,0.0007365907,0.0006105076,0.0002016886,0.0003318464,0.0005322422,0.0002751944,0.001348985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645335,"about_ca_system_score_gemma":0.0005818512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788968,"about_ca_topic_score_gemma":0.01489223,"domain_scores_codex":[0.9997606,0.00009819494,0.000009260969,0.00005607923,0.00004761616,0.00002817072],"domain_scores_gemma":[0.9995945,0.0002177081,0.00006403654,0.00004167668,0.00006553331,0.0000165377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00101256,0.0000987498,0.03339584,0.0003001083,0.0001619171,0.0003870435,0.0004203646,0.7705032,0.01208594,0.001574186,0.0009921168,0.179068],"study_design_scores_gemma":[0.00003703123,0.0003044853,0.01269353,0.00004043903,0.00009556526,0.0001910796,0.0002196169,0.9786309,0.005821705,0.0006217344,0.001314201,0.00002964865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5888903,0.0002886012,0.405666,0.00009749296,0.00003627165,0.0001056567,0.0005521415,0.001499455,0.002864053],"genre_scores_gemma":[0.9624769,0.000195363,0.03445688,0.000009258348,0.000004790738,0.00006853968,0.0002679596,0.0002325014,0.002287844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01788968,"threshold_uncertainty_score":0.0355711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006695667937473137,"score_gpt":0.2368855252501685,"score_spread":0.2301898573126953,"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."}}