{"id":"W4391921212","doi":"10.33137/cpoj.v6i2.42225","title":"CONTEMPORARY AND FUTURE DEVELOPMENT OF 3D PRINTING TECHNOLOGY IN THE FIELD OF ASSISTIVE TECHNOLOGY, ORTHOTICS AND PROSTHETICS","year":2024,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthotics; Assistive technology; 3D printing; Field (mathematics); Engineering; Engineering management; Computer science; Medicine; Mechanical engineering; Physical therapy; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006740984,0.0002214983,0.0003221031,0.001039386,0.0001373668,0.00008029154,0.0002362887,0.0003417997,0.000003817478],"category_scores_gemma":[0.0001166497,0.0001750102,0.00004111796,0.0007559666,0.0003613326,0.00006356932,0.00005473672,0.0008905955,6.728606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008147369,"about_ca_system_score_gemma":0.0006549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001675784,"about_ca_topic_score_gemma":0.0005450632,"domain_scores_codex":[0.9984947,0.00003584639,0.0007300569,0.00018991,0.0002022948,0.0003471868],"domain_scores_gemma":[0.9991717,0.0001317691,0.0001161162,0.0002294502,0.0002061847,0.000144825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004588966,0.000255853,0.4414012,0.003811655,0.0005559046,0.000883361,0.02298714,0.003108466,0.003528225,0.08352152,0.0009808579,0.43892],"study_design_scores_gemma":[0.006133877,0.004655325,0.1906826,0.01109334,0.0008665242,0.01279135,0.05614737,0.1100628,0.03370095,0.06841861,0.4996893,0.005757904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708085,0.01548029,0.002069714,0.009392058,0.0005845561,0.0007043161,0.00003562327,0.0000724317,0.0008524928],"genre_scores_gemma":[0.9773586,0.0006282678,0.02185237,0.00006060855,0.00003802954,0.000008896522,0.000002831729,0.00003734921,0.00001308261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4987085,"threshold_uncertainty_score":0.7136709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005914436542748273,"score_gpt":0.2284538548825118,"score_spread":0.2225394183397635,"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."}}