{"id":"W2805993325","doi":"10.1016/j.chemosphere.2018.05.111","title":"Rapid fingerprinting of spilled petroleum products using fluorescence spectroscopy coupled with parallel factor and principal component analysis","year":2018,"lang":"en","type":"article","venue":"Chemosphere","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Asphaltene; Petroleum; Petroleum product; Principal component analysis; Chemistry; Environmental chemistry; Environmental science; Mass spectrometry; Chromatography; Computer science; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011111,0.000333581,0.0007414735,0.00007777161,0.0001696969,0.00005576127,0.0002802058,0.0001185168,0.002340725],"category_scores_gemma":[0.0001080905,0.0002798327,0.0001270193,0.001204087,0.0004043303,0.0001057567,0.0001285051,0.000225548,0.000005629533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119545,"about_ca_system_score_gemma":0.00009723636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697478,"about_ca_topic_score_gemma":0.00002679847,"domain_scores_codex":[0.9980556,0.00001312542,0.0004237719,0.0006621447,0.0003840808,0.000461225],"domain_scores_gemma":[0.9985631,0.00006176481,0.000403267,0.0005994526,0.0002368982,0.0001355223],"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":[0.0002580908,0.0001686683,0.1262789,0.0002780793,0.001192462,0.00000772085,0.0002741003,0.0001242948,0.871197,0.00002144984,0.00001804308,0.0001812344],"study_design_scores_gemma":[0.0008744801,0.00009236335,0.01131341,0.00005527753,0.001166056,0.00001043781,0.0004036236,0.02592224,0.9596989,0.000008801478,0.00009507604,0.000359341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951153,0.000684319,0.002059853,0.00005091886,0.00002348508,0.00008647582,0.000009317951,0.00007504351,0.001895308],"genre_scores_gemma":[0.9639388,0.00006438354,0.03543169,0.00001515448,0.0001760313,0.000005760739,0.00001436657,0.00003213433,0.0003216226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149655,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210249750606047,"score_gpt":0.2606674114401381,"score_spread":0.2396424363795334,"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."}}