{"id":"W2155065846","doi":"10.1039/c4ra10981c","title":"Peptide arrays for detecting naphthenic acids in oil sands process affected water","year":2014,"lang":"en","type":"article","venue":"RSC Advances","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Naphthenic acid; Oil sands; Chemistry; Peptide; Process (computing); Environmental science; Environmental chemistry; Materials science; Computer science; Organic chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211564,0.0003252352,0.0001819232,0.0002667127,0.0001886028,0.0002197475,0.0002896697,0.0006582983,0.001404084],"category_scores_gemma":[0.0002613983,0.0002314621,0.000139954,0.000188868,0.000146217,0.0002855972,0.0002587501,0.0004099764,0.0005264608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627378,"about_ca_system_score_gemma":0.0001063435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253646,"about_ca_topic_score_gemma":0.0005906071,"domain_scores_codex":[0.9997808,0.00003641147,0.000007849355,0.00006238046,0.0000798771,0.00003271535],"domain_scores_gemma":[0.9999051,0.00002764806,0.00001415494,0.000006850132,0.00002835891,0.0000178222],"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":[0.000027765,0.000008728925,0.00004094055,0.00001459888,0.00000217402,0.00001320863,0.00000540747,0.00007137041,0.9980701,0.00002879863,0.00002894263,0.001688052],"study_design_scores_gemma":[0.000006433296,0.0001943624,0.0007101157,0.00000273396,0.000007779577,0.00009645036,0.00001654933,0.001983053,0.9961069,0.00004342469,0.0008275461,0.00000458784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337934,0.002775235,0.05632731,0.0002834451,0.0001345443,0.0001884987,0.0006115369,0.0004154007,0.00547071],"genre_scores_gemma":[0.93746,0.001978894,0.05427912,0.0002607402,0.00004232415,0.000218991,0.0004623459,0.00002318266,0.005274381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001404084,"threshold_uncertainty_score":0.004697084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007675685309257921,"score_gpt":0.2573737207580092,"score_spread":0.2496980354487513,"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."}}