{"id":"W4399909361","doi":"10.1016/j.indcrop.2024.118996","title":"Discrimination of tulip cultivars with different floral scents using sensory assessment, electronic nose, and gas chromatography–mass spectrometry","year":2024,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electronic nose; Cultivar; Gas chromatography–mass spectrometry; Mass spectrometry; Gas chromatography; Chromatography; Sensory analysis; Sensory system; Chemistry; Biology; Horticulture; Food science","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":[0.0002240604,0.0004848992,0.0003685315,0.0006480403,0.0002990211,0.0006286273,0.0002158636,0.0004397794,0.000527659],"category_scores_gemma":[0.0003848348,0.0001920154,0.000425636,0.0004450445,0.0002597943,0.0004738634,0.0004224599,0.0007621653,0.0002146369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561087,"about_ca_system_score_gemma":0.0002427438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193667,"about_ca_topic_score_gemma":0.004135729,"domain_scores_codex":[0.9997535,0.000035093,0.00001870244,0.00009589928,0.00005246879,0.0000442844],"domain_scores_gemma":[0.999675,0.0000712257,0.00006191951,0.00001813798,0.00009842964,0.00007521514],"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":[0.0001909081,0.00004280749,0.002947921,0.00002824889,0.00001124301,0.0000450277,0.00005276782,0.00002297843,0.994936,0.00001862897,0.00001704132,0.001686378],"study_design_scores_gemma":[0.00002627173,0.001306969,0.2806754,0.00002382291,0.0001577223,0.0007018598,0.0005685781,0.002402385,0.7128674,0.0001214081,0.00107536,0.00007276431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959836,0.0002940461,0.002599974,0.00003137164,0.00001570842,0.00002509361,0.0003343666,0.00004366793,0.0006722946],"genre_scores_gemma":[0.9866159,0.0002938285,0.01054962,0.0001497944,0.000008987415,0.00006464845,0.0009099203,0.00004267422,0.001364654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002193667,"threshold_uncertainty_score":0.004361868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669081822254196,"score_gpt":0.2589704340970023,"score_spread":0.2322796158744603,"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."}}