{"id":"W4402438648","doi":"10.11159/icmie24.102","title":"Analysis Of Improvements In The Practice Of Anthropometry Through 3D Scanning And Photogrammetry At UNITEC","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Occupational Health and Safety in Workplaces","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photogrammetry; 3d scanning; Anthropometry; Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008292654,0.0001525249,0.0004058234,0.0002735174,0.000118076,0.00001944372,0.000228023,0.0001114684,0.00004912975],"category_scores_gemma":[0.0004616486,0.00009908459,0.00006424991,0.001310731,0.0001001729,0.0001363631,0.0002330689,0.0003360306,3.310166e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005406758,"about_ca_system_score_gemma":0.00002913159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001909767,"about_ca_topic_score_gemma":0.00001049557,"domain_scores_codex":[0.9985461,0.00002771811,0.0006372795,0.0002309228,0.0002998533,0.0002581876],"domain_scores_gemma":[0.9984068,0.001000438,0.0002919486,0.0001171812,0.000133712,0.00004996955],"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":[0.001128675,0.0001810393,0.002621295,0.007724567,0.000595212,0.000001473343,0.0008070226,0.00007435158,0.9658749,0.01911726,0.000465227,0.001408974],"study_design_scores_gemma":[0.001159097,0.0002261266,0.0007917023,0.00446197,0.001061442,0.000004111419,0.003974106,0.01667288,0.9630409,0.0005760954,0.007669948,0.0003616403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977503,0.0001246385,0.000004128633,0.0005642493,0.0006308652,0.0003954642,0.0000628445,0.00002462339,0.0004428717],"genre_scores_gemma":[0.998453,0.0002595813,0.0009088183,0.000177416,0.00007302696,0.0000443568,0.000006417753,0.00001623814,0.00006120154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01854116,"threshold_uncertainty_score":0.4040552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597324766538756,"score_gpt":0.3505090292869864,"score_spread":0.3345357816215989,"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."}}