{"id":"W2085143141","doi":"10.3103/s1063455x07040030","title":"Standardized and unified methods for determining phenols in natural and drinking waters and main trends of their development","year":2007,"lang":"en","type":"article","venue":"Journal of Water Chemistry and Technology","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenols; Phenol; Flame ionization detector; Normative; Environmental science; Environmental chemistry; Chemistry; Chromatography; Gas chromatography; Organic chemistry; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457729,0.0002165331,0.0005478094,0.0001319932,0.00006453114,0.00002243548,0.0001294556,0.0002965757,0.00001365705],"category_scores_gemma":[0.000152446,0.0001534111,0.00003439012,0.0001068163,0.0002989308,0.00006208301,0.0001897206,0.0003818168,9.801282e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007312636,"about_ca_system_score_gemma":0.00004126858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.779399e-7,"about_ca_topic_score_gemma":0.000001005243,"domain_scores_codex":[0.9985842,0.00001481801,0.0007124633,0.0002498779,0.0000994047,0.0003392126],"domain_scores_gemma":[0.9992114,0.0002511131,0.0002365194,0.0001080818,0.0000895607,0.0001033268],"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":[0.0001938275,0.00001631925,0.004718735,0.0003389491,0.00009863979,0.00002877804,0.0006595745,1.292487e-7,0.8312221,0.00001317749,8.146916e-7,0.162709],"study_design_scores_gemma":[0.001754502,0.00002399398,0.0003567231,0.000189497,0.00003848437,0.0006222647,0.001283047,0.00006640905,0.9920862,0.002126042,0.001264166,0.0001887041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891214,0.0005943008,0.00978528,0.0002678091,0.00001759759,0.00002931106,0.000002678591,0.00001277022,0.000168889],"genre_scores_gemma":[0.7727498,0.00006861857,0.2269593,0.000007496277,0.00001999562,0.000002667462,0.000002836737,0.00001200022,0.00017728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217174,"threshold_uncertainty_score":0.6255923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749972061453981,"score_gpt":0.311208545448193,"score_spread":0.2937088248336532,"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."}}