{"id":"W2009743757","doi":"10.1021/ef800985z","title":"Data Visualization for the Characterization of Naphthenic Acids within Petroleum Samples","year":2009,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Naphthenic acid; Characterization (materials science); Petroleum; Fourier transform ion cyclotron resonance; Chemistry; Oil sands; Visualization; Mass spectrometry; Environmental chemistry; Compositional data; Corrosion; Chromatography; Organic chemistry; Materials science; Computer science; Nanotechnology; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0001902784,0.0001194076,0.000178665,0.00005001207,0.0001408898,0.00005214216,0.0004857492,0.00007231289,0.00009112993],"category_scores_gemma":[0.00009539519,0.00008749477,0.00006919805,0.000160204,0.00003570032,0.0001916189,0.00004047155,0.00004652309,8.734453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541055,"about_ca_system_score_gemma":0.00004853821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002238106,"about_ca_topic_score_gemma":0.00001307666,"domain_scores_codex":[0.9991049,0.00001623455,0.0002929503,0.0002539461,0.0001862898,0.0001456665],"domain_scores_gemma":[0.9989721,0.00007025988,0.0002681726,0.0005827934,0.00007601361,0.00003071233],"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":[0.00003003976,0.00005034761,0.0002002505,0.00003046236,0.0000656829,2.028683e-7,0.00007989789,0.00006319068,0.9742488,0.00228727,0.00004039939,0.02290352],"study_design_scores_gemma":[0.000442954,0.00003890914,0.0006813224,0.00008052376,0.0002201375,0.00000291054,0.0001202332,0.01508676,0.9145498,0.0006923034,0.06788421,0.0001999868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475942,0.0005857866,0.1488301,0.0005400224,0.00008584728,0.00001001734,0.0004080339,0.000111352,0.001834637],"genre_scores_gemma":[0.9924962,0.0001324617,0.0002599999,0.0001714422,0.0002453451,0.000006144111,0.002104088,0.00001546911,0.004568882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485701,"threshold_uncertainty_score":0.3567933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895034814011954,"score_gpt":0.2794690146748624,"score_spread":0.2505186665347429,"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."}}