{"id":"W2913533172","doi":"","title":"Quantificação de resíduos do 2,4 D em amostras de água por cromatografia a gás.","year":2015,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Financiadora de Estudos e Projetos","keywords":"Physics; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004224594,0.0004550913,0.0001904398,0.0007068494,0.0003042009,0.0005190742,0.0003588018,0.0006656354,0.001182907],"category_scores_gemma":[0.0006436356,0.000289208,0.0003827579,0.0004916638,0.000304796,0.0003009174,0.0003119147,0.0004072422,0.0003497469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018804,"about_ca_system_score_gemma":0.0006049368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644179,"about_ca_topic_score_gemma":0.02543358,"domain_scores_codex":[0.9995351,0.00008497695,0.00001655737,0.0001195327,0.00016236,0.00008146754],"domain_scores_gemma":[0.9996194,0.0001041695,0.00005866457,0.00002770146,0.0001591774,0.00003088724],"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":[0.00008407306,0.00002100726,0.001619376,0.00005029116,0.000007868055,0.00002509095,0.0000647615,0.00006450841,0.9959828,0.00003074387,0.00003076205,0.002018765],"study_design_scores_gemma":[0.000006257811,0.0004873184,0.01516023,0.00002590992,0.00003108031,0.00008648426,0.0001551649,0.001464876,0.9790881,0.0000407663,0.003442385,0.00001137188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779599,0.003168453,0.01237596,0.0001238831,0.00004799684,0.0001800401,0.001073157,0.0001916387,0.004878945],"genre_scores_gemma":[0.9492467,0.002613243,0.0342008,0.000163004,0.00001787452,0.0001840957,0.001226436,0.0000670523,0.01228077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01644179,"threshold_uncertainty_score":0.03269219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085961116123876,"score_gpt":0.2969720590001305,"score_spread":0.2561124478388917,"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."}}