{"id":"W201258743","doi":"10.1520/jfs2003122","title":"Analysis and Classification of Common Vegetable Oils","year":2003,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Health","funders":"","keywords":"Canola; Tetramethylammonium hydroxide; Sunflower; Chemistry; Transesterification; Fatty acid; Food science; Gas chromatography–mass spectrometry; Peanut oil; Sunflower seed; Gas chromatography; Chromatography; Fatty acid methyl ester; Mass spectrometry; Organic chemistry; Biodiesel; Agronomy; Biology; Raw material; Catalysis","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":[0.0005760155,0.0005058142,0.0004001651,0.004104254,0.0007250361,0.0006482948,0.0004634437,0.0009644846,0.0007588978],"category_scores_gemma":[0.001594187,0.0001752382,0.0003213995,0.001112724,0.000442808,0.0005028289,0.0005367228,0.0003886748,0.0004611067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472636,"about_ca_system_score_gemma":0.0004878829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005167011,"about_ca_topic_score_gemma":0.00772998,"domain_scores_codex":[0.9990114,0.0001072918,0.00008610257,0.0002365581,0.000403695,0.0001549388],"domain_scores_gemma":[0.999163,0.0001314921,0.0001401617,0.00006264425,0.0004232935,0.00007928867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002328253,0.00002616376,0.01043991,0.0001114266,0.00002303144,0.0004222983,0.0001814262,0.0002052549,0.9631708,0.0002322775,0.0000516098,0.02490286],"study_design_scores_gemma":[0.000009079382,0.0002797293,0.03265005,0.00006089871,0.00006615772,0.002973395,0.0004920374,0.002558572,0.9527649,0.0004728216,0.007636513,0.00003589561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769905,0.0024028,0.01744079,0.00008183029,0.00003673608,0.00007203654,0.0005460365,0.00009087967,0.002338509],"genre_scores_gemma":[0.96278,0.001761426,0.03162183,0.00005605796,0.00001234723,0.00004265149,0.0008456346,0.0000344843,0.002845449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005167011,"threshold_uncertainty_score":0.01027387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033734754229688,"score_gpt":0.2585644858617623,"score_spread":0.2382271383194654,"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."}}