{"id":"W1937244080","doi":"10.1109/icce.2003.1218975","title":"A low cost smell detection system for multimedia applications","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Multimedia; Human–computer interaction; Detector; Electronics; Sensory system; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.00001170447,0.00006938288,0.00007020704,0.00002668471,0.00002781764,0.000005994366,0.00005575844,0.00007894872,0.000005375878],"category_scores_gemma":[0.00003886401,0.00006626367,0.00002546729,0.000105157,0.00001525965,0.0000311922,0.000003705454,0.00005777412,0.00004709314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060904,"about_ca_system_score_gemma":6.511377e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.808018e-7,"about_ca_topic_score_gemma":0.000003998877,"domain_scores_codex":[0.999642,0.00000149465,0.00009126472,0.00009541783,0.0000332106,0.000136582],"domain_scores_gemma":[0.9997325,0.00006071109,0.00001017746,0.000149185,0.00002120229,0.00002621256],"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":[0.000001017901,0.000008216308,0.0000075462,0.0001223906,0.000008180678,1.58344e-7,0.000005042791,0.006216822,0.9416684,0.001536467,0.00006569713,0.05036005],"study_design_scores_gemma":[0.0001397238,0.000003623613,0.000002827323,0.000004657468,0.000003906182,0.000002744259,0.0001097121,0.01960784,0.9585479,0.0002402323,0.02125551,0.00008125456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007916196,0.00004145689,0.9842172,0.000003739457,0.00007005482,0.0005793587,0.000006154121,0.002361929,0.004803969],"genre_scores_gemma":[0.9618038,0.000006927839,0.03729888,0.000003494793,0.00001803435,0.0007562386,0.000002633221,0.00001899721,0.00009099376],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9538876,"threshold_uncertainty_score":0.2702154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007482676422758038,"score_gpt":0.2094929304609608,"score_spread":0.2020102540382028,"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."}}