{"id":"W2001042040","doi":"10.2166/wst.2007.193","title":"Analytical approaches to characterising fish tainting potential of oil sands process waters","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Syncrude (Canada)","funders":"Syncrude","keywords":"Dichloromethane; Stage (stratigraphy); Extraction (chemistry); Chromatography; Solvent; Chemistry; Rainbow trout; Fish <Actinopterygii>; Mass spectrometry; Environmental science; Environmental chemistry; Pulp and paper industry; Fishery; Geology; Biology; Engineering; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0008715222,0.0001467409,0.0002813948,0.000828084,0.0004071771,0.0002462245,0.0005977219,0.00007406309,0.0002366165],"category_scores_gemma":[0.00003929808,0.00009278665,0.00006061285,0.0004336347,0.001431356,0.0003694466,0.00026462,0.0001035356,0.00002793505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004770077,"about_ca_system_score_gemma":0.00001822443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006135395,"about_ca_topic_score_gemma":0.00008467163,"domain_scores_codex":[0.9982589,0.000009960342,0.0003923873,0.0004017525,0.0002998328,0.0006371702],"domain_scores_gemma":[0.9994073,0.000004699692,0.00007939785,0.0002533287,0.0001786416,0.00007661775],"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":[0.00007854639,0.0001515632,0.002131453,0.000144649,0.0000497896,0.00005409984,0.05741325,0.00009175368,0.8847671,0.02104799,0.00003025108,0.03403961],"study_design_scores_gemma":[0.0001782454,0.0001430611,0.0004476972,0.00005270507,0.00005759839,0.00002518212,0.01949831,0.0006113696,0.9732674,0.0008160052,0.004541654,0.0003608038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943668,0.000002979167,0.0001894714,0.002356386,0.0002811433,0.00005744732,0.000004712851,0.0001303777,0.002610692],"genre_scores_gemma":[0.9985808,6.794397e-7,0.0002126352,0.0001013972,0.0001381109,0.000006523154,0.000005468844,0.000009965364,0.0009444284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08850033,"threshold_uncertainty_score":0.527389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05835171815197836,"score_gpt":0.2442255314790367,"score_spread":0.1858738133270584,"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."}}