{"id":"W4390862014","doi":"","title":"Conséquences de l'artificialisation de l'hydrologie du Rhône sur la structuration des communautés d'invertébrés et de poissons - Rapport final","year":2011,"lang":"fr","type":"report","venue":"","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007188127,0.0002962744,0.0003663508,0.0003144002,0.000737476,0.0009976712,0.0002953809,0.0007183596,0.00264557],"category_scores_gemma":[0.002025918,0.0002137196,0.0006694366,0.0002826575,0.001092921,0.0003851681,0.0009653157,0.0006459727,0.0004904755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113294,"about_ca_system_score_gemma":0.001099323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0360682,"about_ca_topic_score_gemma":0.05506518,"domain_scores_codex":[0.9995896,0.0001748938,0.00002411481,0.00006942196,0.00008314436,0.00005883057],"domain_scores_gemma":[0.9977832,0.000807293,0.0002942469,0.0003904612,0.0004615436,0.0002633051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00398454,0.0005158842,0.3082613,0.0004205674,0.0004410892,0.001341987,0.003024624,0.08199188,0.5123209,0.005845213,0.003346732,0.07850523],"study_design_scores_gemma":[0.0001736135,0.001217754,0.8135289,0.00003321325,0.0002102421,0.0004518296,0.001083797,0.05844099,0.1036814,0.001372129,0.01968381,0.0001224537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964634,0.00008412326,0.001346698,0.0001723482,0.00002212896,0.0000109309,0.0001419272,0.00004194112,0.001716592],"genre_scores_gemma":[0.9935765,0.0001256597,0.001937844,0.00005149417,0.00001048153,0.00003410842,0.0001684392,0.00003812864,0.004057355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0360682,"threshold_uncertainty_score":0.07171655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045015893285718,"score_gpt":0.2942943127771638,"score_spread":0.189792723448592,"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."}}