{"id":"W2512089615","doi":"10.1136/oemed-2016-103951.536","title":"P220 Evaluating the influence of method, seat positioning, and anthropometric scaling on mobile machinery visibility profiles obtained using computer simulation","year":2016,"lang":"en","type":"article","venue":"","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Visibility; Computer science; Masking (illustration); Standard deviation; Operator (biology); Monocular; Position (finance); Variation (astronomy); Field (mathematics); Simulation; Computer vision; Statistics; Mathematics; Optics","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":[0.001850962,0.0004291191,0.0002659654,0.0007434956,0.0002266545,0.0009394062,0.0003847805,0.0003117643,0.001791282],"category_scores_gemma":[0.01107935,0.000273741,0.0004912096,0.0006972486,0.0002586892,0.0003405904,0.0005188531,0.0002608658,0.0004044096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421632,"about_ca_system_score_gemma":0.0004192638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006291222,"about_ca_topic_score_gemma":0.00444603,"domain_scores_codex":[0.9983164,0.0006170055,0.0001298374,0.0002493125,0.0005768014,0.0001105728],"domain_scores_gemma":[0.9887037,0.007440097,0.0007796151,0.001077781,0.00186471,0.0001340954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008667067,0.00192766,0.2846316,0.0008155345,0.0003575232,0.0004928367,0.002991698,0.287103,0.1799086,0.001411145,0.001613423,0.2300799],"study_design_scores_gemma":[0.00007746476,0.005721829,0.3593469,0.0001405681,0.0001796861,0.0002616277,0.001378585,0.5496078,0.08043575,0.0003953245,0.00231043,0.0001440812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831128,0.00004134464,0.01496591,0.00001030568,0.00001184302,0.0000634229,0.00023901,0.0001501302,0.001405271],"genre_scores_gemma":[0.9933536,0.00002540944,0.0060464,0.000005152385,0.000001260451,0.00003187156,0.0002644477,0.00003702444,0.0002348669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006291222,"threshold_uncertainty_score":0.01250917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03940831647418479,"score_gpt":0.4277734509285786,"score_spread":0.3883651344543938,"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."}}