{"id":"W2165528252","doi":"10.5539/mas.v3n12p83","title":"Ergonomics Analysis in the Industrial Design of Medical Instrument Products","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human factors and ergonomics; Industrial design; Product (mathematics); Product design; Work (physics); Computer science; New product development; Manufacturing engineering; Engineering; Medicine; Poison control; Business; Mechanical engineering; Marketing; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004089647,0.0007782532,0.0005311974,0.00208734,0.0008110084,0.002499015,0.0005711883,0.0007701629,0.00289466],"category_scores_gemma":[0.007138256,0.0005689039,0.0008394707,0.0008333522,0.001483175,0.001584518,0.0006891661,0.0005339424,0.0004826293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009502206,"about_ca_system_score_gemma":0.001419457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088039,"about_ca_topic_score_gemma":0.0007585439,"domain_scores_codex":[0.9946147,0.003276747,0.0003574694,0.0003470638,0.001275037,0.0001290127],"domain_scores_gemma":[0.9972355,0.001474317,0.0002703138,0.0001871615,0.0007900383,0.00004268074],"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":[0.0007858418,0.00041373,0.02495191,0.002778464,0.0002450586,0.00066226,0.005921666,0.1712788,0.05243784,0.2643857,0.002788297,0.4733503],"study_design_scores_gemma":[0.0002561022,0.003729673,0.05798824,0.001352323,0.0006538418,0.001446043,0.006583794,0.5569575,0.04012329,0.2343704,0.09619576,0.0003430225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07509766,0.00294744,0.9027085,0.0006598537,0.0001577118,0.0002219391,0.00004199593,0.0002269259,0.01793803],"genre_scores_gemma":[0.7644377,0.00184048,0.2289429,0.0001490099,0.00009051502,0.0002474582,0.0000664559,0.00007868087,0.004146875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004089647,"threshold_uncertainty_score":0.02162844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05569202083006924,"score_gpt":0.3091848104525081,"score_spread":0.2534927896224389,"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."}}