{"id":"W7000067280","doi":"","title":"Eaux usées des municipalités québécoises de petites et moyennes tailles : un portrait 10 ans après la mise en place du ROMAEU","year":2024,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decantation; Context (archaeology); Exclosure; Clean technology","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":[0.000180728,0.000225127,0.0001499199,0.00145704,0.002530177,0.001275655,0.0003795215,0.0003272955,0.004554987],"category_scores_gemma":[0.0003268609,0.0001457073,0.000238751,0.002127195,0.0008645328,0.0003878427,0.0006450911,0.0003915842,0.0004153459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009190614,"about_ca_system_score_gemma":0.00482446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9693624,"about_ca_topic_score_gemma":0.9934466,"domain_scores_codex":[0.9998502,0.00001640296,0.000004047331,0.00003085032,0.0000418997,0.00005662043],"domain_scores_gemma":[0.999721,0.00002370314,0.00004436433,0.0000119995,0.0001462366,0.00005271782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000296391,0.0000765603,0.6180249,0.0003580617,0.0001391063,0.001985764,0.1251306,0.001425598,0.008901997,0.01156349,0.02295797,0.2091397],"study_design_scores_gemma":[0.00000171123,0.00002626364,0.897717,0.00006596146,0.00002208476,0.0001357406,0.02074788,0.0002552294,0.0002664653,0.0001083711,0.08063632,0.00001705618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258682,0.00303976,0.000906679,0.001346346,0.00004502567,0.00004798386,0.002914856,0.00006122742,0.0657699],"genre_scores_gemma":[0.936918,0.001499715,0.001081311,0.0001119459,0.00001201462,0.00003079084,0.0009689417,0.00002006383,0.05935723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03063762,"threshold_uncertainty_score":0.06668293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475020645190435,"score_gpt":0.2175009844695251,"score_spread":0.2027507780176207,"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."}}