{"id":"W4393087473","doi":"10.56007/arrivet.v1i1.27","title":"Developing Athletic Prosthetics Via 3D Printing","year":2023,"lang":"en","type":"article","venue":"Applied Research Results in Vocational Education & Training","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; Camosun College","funders":"","keywords":"3D printing; Computer science; Multimedia; Computer graphics (images); Engineering; Mechanical engineering","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":[0.001816608,0.0008149407,0.0004181073,0.001167909,0.0003998034,0.00301166,0.001287353,0.001055556,0.008212847],"category_scores_gemma":[0.003127354,0.0007133469,0.001063355,0.0005770436,0.0007770705,0.001204851,0.001456835,0.001230365,0.003634325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726046,"about_ca_system_score_gemma":0.0004744607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002787428,"about_ca_topic_score_gemma":0.0008651805,"domain_scores_codex":[0.9984358,0.0001349832,0.0001180425,0.0001553431,0.001079023,0.000076767],"domain_scores_gemma":[0.9980255,0.0006495538,0.0001358232,0.0005861727,0.0005134438,0.0000894091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000125978,0.0002881846,0.002382637,0.001894153,0.0001021423,0.00154546,0.0007071463,0.01853205,0.4031099,0.01962018,0.01597435,0.5357177],"study_design_scores_gemma":[0.00006317629,0.001363803,0.005134154,0.0005639267,0.0001231888,0.008185169,0.0004957882,0.04512025,0.4349597,0.01249765,0.4912162,0.0002770158],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05961099,0.004228967,0.8665697,0.001088511,0.001735821,0.0005760188,0.0006165258,0.005416256,0.06015722],"genre_scores_gemma":[0.3126267,0.004412617,0.6508549,0.0006897351,0.0002198356,0.0003629318,0.0005779665,0.00106176,0.02919355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008212847,"threshold_uncertainty_score":0.02747464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1781981588077748,"score_gpt":0.4339630220494061,"score_spread":0.2557648632416313,"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."}}