{"id":"W4414845836","doi":"10.1080/00140139.2025.2563366","title":"An analysis of head and ear anthropometric data using 3D scans for head-wearable products","year":2025,"lang":"en","type":"article","venue":"Ergonomics","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"Korea Evaluation Institute of Industrial Technology; National Research Foundation of Korea","keywords":"Anthropometry; Head (geology); Significant difference; Mean difference; Body height; 3d printed","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":[0.0006234656,0.0006168628,0.0003231033,0.002201292,0.000177328,0.0005548064,0.0002812326,0.0003567085,0.001646875],"category_scores_gemma":[0.001926359,0.0002503223,0.0005895928,0.002242762,0.0001836789,0.0004718175,0.00057497,0.0001860707,0.0008717991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299874,"about_ca_system_score_gemma":0.0002922108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002264999,"about_ca_topic_score_gemma":0.005997415,"domain_scores_codex":[0.9994385,0.0001230826,0.00006909062,0.0001187005,0.0002140737,0.00003647454],"domain_scores_gemma":[0.9989266,0.0002116246,0.0002790242,0.0001673884,0.0003779059,0.00003741622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007894309,0.0001864956,0.4619584,0.001118073,0.0003890719,0.0009210437,0.001446454,0.003803493,0.1344411,0.0004316613,0.002771678,0.3917432],"study_design_scores_gemma":[0.00001132982,0.0002810932,0.9706359,0.00009664828,0.0001782567,0.001189196,0.001066313,0.00913104,0.01206911,0.0001877162,0.005103908,0.00004954894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328262,0.0008125439,0.05495277,0.0000828534,0.00004264984,0.0002528232,0.00775745,0.0004087244,0.002863973],"genre_scores_gemma":[0.9290693,0.0007669069,0.0619027,0.00005039463,0.00003720406,0.0003408802,0.006406168,0.00008543947,0.001340903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002264999,"threshold_uncertainty_score":0.005509377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06532925650081567,"score_gpt":0.4016591598413006,"score_spread":0.336329903340485,"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."}}