{"id":"W6974027973","doi":"10.58079/alyx","title":"Adaptation aux changements climatiques et à l’augmentation du niveau de la mer en zones côtières","year":2016,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Vegetation (pathology); Precipitation; Context (archaeology)","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":[0.001481645,0.0003920507,0.000440642,0.0007633687,0.001985572,0.003671654,0.0008107001,0.0009696872,0.005268754],"category_scores_gemma":[0.002119601,0.0002525354,0.000623446,0.001733545,0.001909075,0.001010649,0.001943654,0.001245137,0.000393965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009564393,"about_ca_system_score_gemma":0.007274948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4271038,"about_ca_topic_score_gemma":0.587639,"domain_scores_codex":[0.9990032,0.0002648151,0.00003438687,0.0001886433,0.0002390152,0.0002698625],"domain_scores_gemma":[0.9987432,0.00029756,0.000178678,0.0001000849,0.0004460076,0.0002344426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001413159,0.000335939,0.1822528,0.002910599,0.0004898666,0.002094498,0.03336253,0.01349891,0.05955939,0.05728806,0.06760744,0.5791869],"study_design_scores_gemma":[0.00003378692,0.0001806058,0.4869004,0.0005903947,0.0001136326,0.0002697056,0.01451112,0.001239901,0.00774162,0.003983477,0.484335,0.0001003089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713202,0.07683434,0.007962746,0.04625962,0.003528185,0.0001751854,0.001544629,0.0002337821,0.1502594],"genre_scores_gemma":[0.9364362,0.02691714,0.002546258,0.001088016,0.0003675061,0.0000690426,0.0003803048,0.00009252685,0.03210296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4271038,"threshold_uncertainty_score":0.8492355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526445478528438,"score_gpt":0.2797498289409681,"score_spread":0.2544853741556837,"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."}}