{"id":"W4319437397","doi":"10.5539/gjhs.v15n2p42","title":"Comparison of 3D Printing and Traditional Hand Orthosis Fabrication","year":2023,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthotics; Splint (medicine); Splints; Fabrication; Wrist; Likert scale; Assistive technology; Medicine; Physical therapy; 3D printing; 3d printed; Physical medicine and rehabilitation; Computer science; Engineering; Biomedical engineering; Orthodontics; Psychology; Mechanical engineering; Human–computer interaction; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001603049,0.0005881147,0.0003778823,0.001092135,0.0002117959,0.0007285436,0.0004933679,0.0004646053,0.002613808],"category_scores_gemma":[0.00497212,0.000273906,0.0008508033,0.0008119685,0.0005542199,0.0004950322,0.0007929066,0.0003722645,0.0003227878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920063,"about_ca_system_score_gemma":0.0003143061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005853896,"about_ca_topic_score_gemma":0.001797529,"domain_scores_codex":[0.9971302,0.00066031,0.000316987,0.000173995,0.001621398,0.00009714378],"domain_scores_gemma":[0.9961495,0.002160266,0.0005818464,0.0004265181,0.000594858,0.00008694587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006340502,0.002633927,0.03950669,0.004223248,0.0004469739,0.001699992,0.003779586,0.0119482,0.4917222,0.001171294,0.0007947952,0.4357325],"study_design_scores_gemma":[0.0007488936,0.06163508,0.5974874,0.0006156577,0.001025154,0.01108623,0.005626814,0.02947374,0.2650802,0.0012792,0.02547771,0.0004639599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773743,0.001413521,0.01725646,0.00007411329,0.0001046073,0.0002786431,0.0002446178,0.00009231467,0.003161485],"genre_scores_gemma":[0.9595851,0.001082196,0.03740522,0.00008390635,0.0000349582,0.0002118094,0.0001894772,0.00003685504,0.001370242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002613808,"threshold_uncertainty_score":0.008744061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912709957613508,"score_gpt":0.3497764801955481,"score_spread":0.300649380619413,"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."}}