{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003561782,0.0006748536,0.0009551743,0.0006283167,0.0004538817,0.0006126439,0.001990514,0.001647321,0.004955396],"category_scores_gemma":[0.0008642771,0.0004366951,0.0005034591,0.0005525713,0.0002812921,0.001199491,0.0006541795,0.000843772,0.003673898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469169,"about_ca_system_score_gemma":0.0004170996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003778511,"about_ca_topic_score_gemma":0.0004705929,"domain_scores_codex":[0.9993687,0.00005556581,0.00003177612,0.00009745466,0.0004117502,0.00003467712],"domain_scores_gemma":[0.9994646,0.00008643087,0.00007418299,0.00007579401,0.0002301397,0.00006876015],"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":[0.0001975009,0.00009698235,0.000600985,0.0003840035,0.00002507245,0.0002293838,0.00003297925,0.0003787559,0.9295067,0.0009813342,0.004882941,0.06268343],"study_design_scores_gemma":[0.0001111651,0.001885865,0.004700154,0.00003700651,0.0001428822,0.00385903,0.00003123574,0.02815972,0.9144679,0.0003882672,0.04605674,0.0001599934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1292892,0.004192236,0.8359332,0.0013724,0.001162862,0.001375397,0.001042843,0.01262305,0.01300873],"genre_scores_gemma":[0.4356551,0.002050207,0.5275251,0.001478411,0.0004080271,0.0007342132,0.001191354,0.0002867744,0.03067079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004955396,"threshold_uncertainty_score":0.01657742,"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."}}