{"id":"W6945735574","doi":"10.25976/mljk-rz28","title":"RSMA – données QUALO annuelles","year":2025,"lang":"fr","type":"dataset","venue":"DataStream","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Water resources; Quality (philosophy); Fecal coliform; Hydrology (agriculture)","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001004541,0.002221465,0.002035843,0.001276218,0.0006836989,0.0008596299,0.005415192,0.001436581,0.005662212],"category_scores_gemma":[0.001670246,0.002430876,0.0005114051,0.002012932,0.001307349,0.001090564,0.004018747,0.00214076,0.1011837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005737013,"about_ca_system_score_gemma":0.001214046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007365532,"about_ca_topic_score_gemma":0.008285574,"domain_scores_codex":[0.9907665,0.001065985,0.001714809,0.002885748,0.001380309,0.002186711],"domain_scores_gemma":[0.9885234,0.001033767,0.001068036,0.008258408,0.0003660229,0.0007504148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002212268,0.001860402,0.000195405,0.002022847,0.001044664,0.0006814194,0.00006666719,0.00004198811,0.00005112386,0.0009588295,0.9839436,0.008911776],"study_design_scores_gemma":[0.001386096,0.0002511836,0.0001597485,0.002666688,0.001709282,0.0001154557,0.0004488335,0.00006148854,0.0001797847,0.00009538356,0.991048,0.001878012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001075046,0.007731675,0.00002092742,0.0006544061,0.003879098,0.001065416,0.9849683,0.0003071635,0.001265488],"genre_scores_gemma":[0.00001186132,0.00391621,0.001166191,0.0004640381,0.001751586,0.00016736,0.9857016,0.0001844232,0.006636782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09552149,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223710476297233,"score_gpt":0.2885512980464903,"score_spread":0.2663141932835179,"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."}}