{"id":"W2060503755","doi":"10.7901/2169-3358-2008-1-311","title":"A CASE STUDY: DISTINGUISHING PYROGENIC HYDROCARBONS FROM PETROGENIC HYDROCARBONS","year":2008,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Chrysene; Anthracene; Fluoranthene; Environmental chemistry; Pyrene; Phenanthrene; Environmental science; Chemistry; Dominance (genetics); Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009867455,0.000652111,0.0003557724,0.001689982,0.002109544,0.001148292,0.0009341033,0.002446285,0.002068693],"category_scores_gemma":[0.002468104,0.0003644436,0.0004622412,0.00126743,0.001010945,0.0008116091,0.0009752375,0.001136665,0.0004825679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002595,"about_ca_system_score_gemma":0.0007229752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008268586,"about_ca_topic_score_gemma":0.01648386,"domain_scores_codex":[0.9990647,0.0002820724,0.0000627314,0.0001373144,0.0003205411,0.000132592],"domain_scores_gemma":[0.9981676,0.0009640608,0.0002149958,0.0001358537,0.0002817971,0.0002356839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0008198465,0.001895999,0.1812503,0.0007788356,0.00008032639,0.6938834,0.009703776,0.01185513,0.02394815,0.004383794,0.00357565,0.06782468],"study_design_scores_gemma":[0.000303725,0.002867159,0.1217054,0.0005213484,0.0001972091,0.6171709,0.04497626,0.06339692,0.09124579,0.006505942,0.05085799,0.0002512673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983368,0.0006095202,0.009272534,0.001037135,0.00004292608,0.0001900924,0.000278098,0.00004555113,0.005156111],"genre_scores_gemma":[0.9844525,0.0006950769,0.01137029,0.0002041002,0.00004561376,0.00004650663,0.0001464912,0.00002310233,0.003016209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008268586,"threshold_uncertainty_score":0.01644093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008108601574592,"score_gpt":0.2548435482776188,"score_spread":0.2247624622618729,"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."}}