{"id":"W1964355006","doi":"10.1016/j.cad.2009.02.001","title":"The effect of sub-threshold forces on human performance in multi-modal computer-aided design","year":2009,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Haptic technology; Computer science; Task (project management); Simulation; Human–computer interaction; Virtual reality; Modal; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005377049,0.0004467607,0.0005428878,0.0003266352,0.0006212156,0.00019849,0.0008723062,0.0001445988,0.000008493396],"category_scores_gemma":[0.0001303731,0.0003310654,0.0001985799,0.0004981293,0.0001874197,0.0004332994,0.00008147176,0.0005655932,0.00008611321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138426,"about_ca_system_score_gemma":0.00004378888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001135664,"about_ca_topic_score_gemma":0.000005450304,"domain_scores_codex":[0.9964504,0.0009867069,0.0007226891,0.0007265709,0.0004513885,0.0006622275],"domain_scores_gemma":[0.99529,0.003421853,0.0003187771,0.0007749413,0.00005945133,0.0001350168],"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":[0.001571488,0.0007842793,0.001140572,0.00006470445,0.00003608217,0.0001868262,0.0008080961,0.2246265,0.6994227,0.001500825,0.002796721,0.06706117],"study_design_scores_gemma":[0.00144852,0.005008254,0.006265889,0.0001441349,0.00001314616,0.00004499154,0.000005239652,0.3452997,0.6411996,0.0001381277,0.00015364,0.0002787495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787472,0.00001790784,0.2101973,0.0001239079,0.0007184952,0.001077525,0.000003036167,0.0001633163,0.0002265828],"genre_scores_gemma":[0.9950709,0.00003871792,0.004027176,0.0004631814,0.0001968702,0.00004110593,0.000002149761,0.00003380702,0.0001261155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075989,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09506392444136001,"score_gpt":0.3216145392183363,"score_spread":0.2265506147769762,"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."}}