{"id":"W6921131275","doi":"10.6084/m9.figshare.26943570.v1","title":"Additional file 1 of Rapid analysis of spilled petroleum oils by direct analysis in real time time-of-flight mass spectrometry with hydrophobic paper sample collection","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sample (material); Petroleum; Mass spectrometry; DART ion source; Sample preparation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001794695,0.001303451,0.001022845,0.002509085,0.001003049,0.001504174,0.001924376,0.001371827,0.8629997],"category_scores_gemma":[0.01598071,0.0007642002,0.000811175,0.002857625,0.0003076029,0.001592537,0.001313404,0.0008389681,0.2610784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007866005,"about_ca_system_score_gemma":0.001580321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301242,"about_ca_topic_score_gemma":0.008981744,"domain_scores_codex":[0.9992684,0.00009081397,0.00009430623,0.0001891425,0.0002542037,0.0001031397],"domain_scores_gemma":[0.9894167,0.00745798,0.0005588143,0.0007860677,0.001488611,0.0002917785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004104713,0.0001496373,0.002000098,0.002348447,0.00005023478,0.0001181106,0.00005377407,0.0005236539,0.0009208609,0.0006282161,0.9766561,0.01614043],"study_design_scores_gemma":[0.002838307,0.0003980217,0.02588247,0.001547382,0.000166359,0.0006397459,0.0002916614,0.002746564,0.005755098,0.008028652,0.9514954,0.0002103942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0002526795,0.00001727633,0.0007967033,0.00007065832,0.00002547883,0.00006621834,0.9967958,0.0009750708,0.001000013],"genre_scores_gemma":[0.007692636,0.0001321177,0.009112538,0.0004422964,0.00008929977,0.00116534,0.9696109,0.002054627,0.009700352],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8629997,"threshold_uncertainty_score":0.1954142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164783759316931,"score_gpt":0.2649349666065192,"score_spread":0.2532871290133499,"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."}}