{"id":"W4221099347","doi":"10.18280/ts.390101","title":"Interaction Model of the Cabin of Combined Sugarcane Harvesters","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; ALARM; Mode (computer interface); Warning system; Channel (broadcasting); Speech recognition; Simulation; Computer vision; Artificial intelligence; Latency (audio); Dual mode; Real-time computing; Engineering; Human–computer interaction; Electronic engineering; Telecommunications","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":[0.0002408127,0.001007855,0.0007260027,0.0005224063,0.0008054578,0.0009371602,0.001339158,0.001196745,0.007285672],"category_scores_gemma":[0.0005158003,0.0004713399,0.000797406,0.0002517973,0.0004121401,0.0007395888,0.0007778647,0.0006682621,0.0009742299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007242037,"about_ca_system_score_gemma":0.0007753951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050741,"about_ca_topic_score_gemma":0.01900999,"domain_scores_codex":[0.9997457,0.000036905,0.000007629254,0.00009739951,0.00004088768,0.00007152637],"domain_scores_gemma":[0.9997471,0.00007993972,0.00004703583,0.000009873341,0.00007896169,0.0000370415],"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":[0.0004268949,0.0001250059,0.005638063,0.0001519333,0.0001218844,0.0009869107,0.000469373,0.9628712,0.0133,0.004740886,0.001467607,0.009700282],"study_design_scores_gemma":[0.000007453622,0.00004113038,0.001007095,0.000002393151,0.00001806489,0.00002675899,0.00003204689,0.9980983,0.0001773164,0.0003339394,0.0002480482,0.000007438865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5904801,0.001113479,0.3753556,0.0005876125,0.0001729666,0.0001410343,0.0007808253,0.001041372,0.03032708],"genre_scores_gemma":[0.9855523,0.0002275873,0.002230367,0.00003048222,0.00002267269,0.0000931164,0.0001680133,0.00003206938,0.01164339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050741,"threshold_uncertainty_score":0.08054328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159891575827569,"score_gpt":0.224304319298112,"score_spread":0.1827054035398363,"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."}}