{"id":"W2773015046","doi":"10.1039/c7ay02456h","title":"A comparison of structural–functional equation models to identify fatty acids on three common gas chromatography columns","year":2017,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Marine Biosciences","funders":"National Research Council Canada; Royal Society of Chemistry; Royal Society","keywords":"Double bond; Chemistry; Gas chromatography; Omega; Fatty acid; Chain (unit); Long chain; Position (finance); Chromatography; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005478907,0.0003669196,0.0008706705,0.0001466136,0.0005242359,0.0001880573,0.0008016247,0.0003457607,0.001233774],"category_scores_gemma":[0.0004523138,0.0003433219,0.0006040994,0.0003176544,0.0005017302,0.000239841,0.0002422545,0.0004993079,0.00002529846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005953481,"about_ca_system_score_gemma":0.00004201242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110923,"about_ca_topic_score_gemma":0.00002967007,"domain_scores_codex":[0.9972688,0.00008653267,0.0008144125,0.0006385378,0.0007218142,0.0004699124],"domain_scores_gemma":[0.9969695,0.0006101372,0.0004179357,0.001375476,0.0002087787,0.0004181558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00106314,0.001135603,0.6007275,0.0008970974,0.001880984,0.0000281397,0.0003633712,0.005296687,0.2278889,0.1317827,0.00205356,0.02688233],"study_design_scores_gemma":[0.001086808,0.0002035378,0.1282413,0.000284309,0.0006421251,0.000009606389,0.0002283438,0.4612494,0.2966091,0.1102764,0.0003612966,0.0008077688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7934992,0.00005592956,0.1696448,0.0003882448,0.0001179465,0.0001213329,0.00005322046,0.00009786467,0.03602142],"genre_scores_gemma":[0.9759661,0.000003477679,0.0235653,0.00008406922,0.0001675992,0.00002284826,0.00005024515,0.00003146974,0.0001088978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4724862,"threshold_uncertainty_score":0.9999019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603656164012537,"score_gpt":0.4497293135099308,"score_spread":0.2893636971086772,"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."}}