{"id":"W4387624544","doi":"10.2316/j.2023.201-0390","title":"NOVEL CHAIR DESIGN TO MANAGE PRESSURE DISTRIBUTION, 1-10.","year":2023,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Engineering; Computer science; Mathematics","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":[0.0007131555,0.001004627,0.0004043801,0.0005604866,0.0002994362,0.0005823422,0.001167011,0.000546271,0.003286702],"category_scores_gemma":[0.0009178586,0.0003639641,0.0004608229,0.0002579722,0.0001572183,0.0005590938,0.0005415897,0.0004479826,0.00162747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188453,"about_ca_system_score_gemma":0.0005363548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005662045,"about_ca_topic_score_gemma":0.001529103,"domain_scores_codex":[0.9995674,0.00008919642,0.0000347132,0.00006447121,0.0001962442,0.00004797069],"domain_scores_gemma":[0.9995698,0.00005455159,0.00008360131,0.00005082024,0.0001776989,0.0000635038],"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":[0.0004359741,0.0004589558,0.003662038,0.002786364,0.0001079571,0.0007270851,0.0002418918,0.004525046,0.6200444,0.003564706,0.009567741,0.3538778],"study_design_scores_gemma":[0.0003036778,0.007320099,0.02811952,0.0006287552,0.0008401287,0.01356638,0.0003374399,0.0805989,0.5653399,0.001756841,0.3009016,0.0002868799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1294042,0.0154445,0.8317959,0.0007288433,0.001874715,0.0008952559,0.0008121062,0.002558557,0.0164858],"genre_scores_gemma":[0.4069056,0.007691666,0.5658621,0.0005476805,0.0004252348,0.0007530659,0.0009092656,0.0002139076,0.01669146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003286702,"threshold_uncertainty_score":0.01099509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07006644382869992,"score_gpt":0.3312060813918681,"score_spread":0.2611396375631682,"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."}}