{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00331751,0.00016654,0.0002392048,0.001034571,0.0003064606,0.00006439463,0.0001936501,0.0001155321,0.0000289309],"category_scores_gemma":[0.002480893,0.0001678976,0.00004253462,0.002416494,0.0002469213,0.00009944688,0.0001323209,0.0006959524,0.0007217437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581125,"about_ca_system_score_gemma":0.003321596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003110796,"about_ca_topic_score_gemma":0.00001995307,"domain_scores_codex":[0.996888,0.0001041976,0.0006552715,0.000548818,0.001097125,0.0007065217],"domain_scores_gemma":[0.9979204,0.0009475917,0.0001064379,0.0003865847,0.0004602174,0.0001787513],"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":[0.0003419033,0.0003542736,0.00382862,0.0003425574,0.00004781411,0.0000159962,0.02046552,0.0002892029,0.005694736,0.09619723,0.001993287,0.8704289],"study_design_scores_gemma":[0.003832434,0.0001387045,0.9010119,0.001019168,0.00001570031,0.0001043068,0.02480507,0.002833476,0.001998381,0.006735783,0.05699207,0.0005129788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8317758,0.0001175004,0.001277679,0.04173311,0.0006741676,0.002736356,0.00001170231,0.0004538944,0.1212197],"genre_scores_gemma":[0.9694737,0.00004776906,0.02606593,0.0003630187,0.0003292966,0.0005155935,0.0002991844,0.00004675773,0.002858812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8971833,"threshold_uncertainty_score":0.9276796,"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."}}