{"id":"W7035922997","doi":"","title":"Analyse des grilles de précipitation à haute résolution et des critères de calage pour la modélisation hydrologique au Québec","year":2016,"lang":"fr","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Quantum Electrodynamics and Casimir Effect","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques","keywords":"Drainage basin; Western europe; Chine; Environmental factor","routes":{"ca_aff":false,"ca_fund":true,"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","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00313988,0.002303666,0.001983348,0.001879111,0.001218696,0.000527235,0.002691428,0.005398336,0.0004588026],"category_scores_gemma":[0.003894122,0.002215439,0.001081774,0.001926103,0.003507496,0.0006496421,0.0009589367,0.003983533,0.0003745449],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00722866,"about_ca_system_score_gemma":0.008379418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02452092,"about_ca_topic_score_gemma":0.1089327,"domain_scores_codex":[0.9898208,0.00153071,0.001330526,0.002358289,0.0006727354,0.004286987],"domain_scores_gemma":[0.9933545,0.001818304,0.001341069,0.002358505,0.0005803347,0.0005472765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000699976,0.002424645,0.4489041,0.001303861,0.002290302,0.001096161,0.004959192,0.1251519,0.1492895,0.1677524,0.01206979,0.08405811],"study_design_scores_gemma":[0.007527546,0.004417082,0.1089334,0.004064801,0.00304675,0.00102187,0.02097529,0.378583,0.1010115,0.2739671,0.08745363,0.008997964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5746652,0.001965344,0.4018341,0.01032119,0.0001818622,0.001935012,0.0003884964,0.003523541,0.005185299],"genre_scores_gemma":[0.960237,0.001559149,0.01411822,0.0004078722,0.000459067,0.001856314,0.0002495213,0.0007602155,0.02035265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3877158,"threshold_uncertainty_score":0.9992044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009949697447535521,"score_gpt":0.2749489921567658,"score_spread":0.2649992947092303,"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."}}