{"id":"W4299340737","doi":"","title":"Impact de la tempête Xynthia sur les prairies de marais : Exemple des parcelles du Domaine INRA de Saint Laurent de la Prée","year":2011,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Geography; Forestry","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01559567,0.0006779666,0.0006335329,0.0002005473,0.001307489,0.000911586,0.00166657,0.0007347501,0.001432071],"category_scores_gemma":[0.004481765,0.0006385469,0.0004106522,0.0004433425,0.00230698,0.0003143294,0.0005925233,0.001162489,0.00008030167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003452706,"about_ca_system_score_gemma":0.001790449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.165001,"about_ca_topic_score_gemma":0.06364189,"domain_scores_codex":[0.9807348,0.01605227,0.0006471481,0.000864312,0.0004008577,0.001300634],"domain_scores_gemma":[0.9888985,0.007592396,0.0006124126,0.001296014,0.0007865419,0.0008141317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001333718,0.0006460308,0.8744601,0.0008727055,0.0002116515,0.00006661197,0.03484999,0.002924336,0.0008593078,0.01779895,0.00368194,0.06349501],"study_design_scores_gemma":[0.0007773148,0.00001013384,0.8583905,0.003157409,0.0001838843,0.0003768706,0.0007430846,0.03691475,0.008592638,0.02877706,0.06113044,0.0009459268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011801,0.01143285,0.06500697,0.003861846,0.0001335419,0.0004894857,0.0002578828,0.0002127476,0.01742456],"genre_scores_gemma":[0.9470415,0.008733833,0.03975522,0.0001093925,0.00009247576,0.00004722896,0.00044634,0.00005083486,0.003723145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013592,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475639654837876,"score_gpt":0.227123427730816,"score_spread":0.2123670311824372,"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."}}