{"id":"W4296410395","doi":"","title":"Variability estimation of urban wastewater biodegradable fractions by respirometry","year":2005,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Respirometry; Wastewater; Estimation; Environmental science; Chemistry; Environmental engineering; Economics; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00377971,0.0001211822,0.0001632418,0.00006501657,0.0002300943,0.00006793134,0.0003704204,0.00007652889,0.0007492385],"category_scores_gemma":[0.0005855944,0.0001148464,0.00009147017,0.0004844189,0.0001959558,0.0002902836,0.0001798653,0.0001364812,0.0001485691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268102,"about_ca_system_score_gemma":0.00001348372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285636,"about_ca_topic_score_gemma":0.00007480333,"domain_scores_codex":[0.9969651,0.001807986,0.0003593836,0.0003409894,0.0003267795,0.000199756],"domain_scores_gemma":[0.9982306,0.0004992232,0.0001867732,0.0008694209,0.0001100933,0.000103848],"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":[0.00003253782,0.004375676,0.1753552,0.0001152053,0.0001711794,0.000001175172,0.01619346,0.00475728,0.6081725,0.007333607,0.03124316,0.1522491],"study_design_scores_gemma":[0.0002698122,5.88731e-7,0.00866328,0.00009285447,0.00004005601,0.000001556706,0.00007635403,0.02485778,0.9341883,0.0008405393,0.03074113,0.000227759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301199,0.00006215947,0.05173888,0.005287145,0.0000399846,0.00009843805,0.00002713877,0.00008415282,0.01254225],"genre_scores_gemma":[0.9447559,0.00001481999,0.04583015,0.0000199786,0.000009919878,0.00001013416,0.00006783405,0.00001060686,0.009280724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260158,"threshold_uncertainty_score":0.8203636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003425933305642,"score_gpt":0.2235749387252503,"score_spread":0.2135406793921939,"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."}}