{"id":"W2143309966","doi":"10.1109/iembs.1995.579635","title":"Instrumentation calibration in a simulated forest machine cab for ergonomic studies","year":2002,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Instrumentation (computer programming); Calibration; Joystick; Simulation; Computer science; Engineering","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":[0.001658179,0.0007578831,0.0003956168,0.0008573637,0.001045852,0.00044134,0.0009131187,0.001008232,0.002274834],"category_scores_gemma":[0.004408734,0.0005147662,0.000395202,0.0004298593,0.0006559735,0.0004002957,0.0005683987,0.000793382,0.0006046281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111404,"about_ca_system_score_gemma":0.001355626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002853618,"about_ca_topic_score_gemma":0.007047012,"domain_scores_codex":[0.9989535,0.0002863574,0.00007296158,0.0001147722,0.0004663846,0.000106032],"domain_scores_gemma":[0.9969278,0.0012419,0.0002780183,0.000680272,0.0006392292,0.0002327788],"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":[0.002565451,0.005923942,0.05947803,0.0004995188,0.0000562578,0.001588673,0.003376555,0.053107,0.7012129,0.001882405,0.002540933,0.1677684],"study_design_scores_gemma":[0.0003863317,0.03444844,0.1516097,0.0002552732,0.000201198,0.005177981,0.002163361,0.1820003,0.5839182,0.002127869,0.03730205,0.0004092214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403271,0.0001268085,0.1520078,0.0001287259,0.00007482081,0.001806534,0.0004906011,0.001478042,0.003559526],"genre_scores_gemma":[0.8631612,0.0001842374,0.1331463,0.0001063311,0.00002068984,0.0007031417,0.0004971827,0.0001574061,0.002023556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002853618,"threshold_uncertainty_score":0.008769453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272530275543092,"score_gpt":0.2503613347062735,"score_spread":0.2176360319508426,"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."}}