{"id":"W1969623538","doi":"10.1080/02626667.2010.481088","title":"Comparaison des méthodes d'interpolation pour l'é laboration de modèles numé riques d'é lé vation de haute pré cision dans la repré sentation micro-topographique des plaines inondables","year":2010,"lang":"fr","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Humanities; Mathematics; Art","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":[0.00319069,0.001199262,0.0009429178,0.001372221,0.0005044751,0.00148623,0.001115694,0.001096675,0.003827984],"category_scores_gemma":[0.01025175,0.000709962,0.001718004,0.001445701,0.0004910982,0.001238222,0.0009625665,0.001494667,0.001020139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007478177,"about_ca_system_score_gemma":0.001501367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346298,"about_ca_topic_score_gemma":0.0113731,"domain_scores_codex":[0.9985675,0.0004531166,0.0001188026,0.0002087188,0.0005602275,0.00009172671],"domain_scores_gemma":[0.9920589,0.005568731,0.0002657602,0.0006852811,0.001339016,0.00008233331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008537297,0.0001926,0.01319949,0.0008262497,0.0003335359,0.0001134805,0.0009236576,0.572085,0.03268936,0.006383779,0.001505664,0.3708934],"study_design_scores_gemma":[0.0000358985,0.0001028635,0.004145315,0.00004319363,0.00003899533,0.00008189584,0.0001458359,0.9717086,0.01707183,0.001277661,0.005281463,0.00006635848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09999031,0.0008428594,0.89206,0.0001602879,0.000133923,0.0001521228,0.0005021775,0.002808358,0.003349947],"genre_scores_gemma":[0.3092252,0.0007978578,0.68325,0.00005334116,0.00003182238,0.0003593909,0.0008438518,0.0009625268,0.00447623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01346298,"threshold_uncertainty_score":0.02676928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554371496724718,"score_gpt":0.3119466121865007,"score_spread":0.2764028972192535,"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."}}