{"id":"W4412014283","doi":"10.18280/isi.300514","title":"Soil Fertility Prediction Using Spatiotemporal Graph Neural Networks","year":2025,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Fertility; Computer science; Graph; Artificial intelligence; Theoretical computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001883243,0.0004576426,0.000265179,0.0007765105,0.0001205911,0.0004059504,0.0005511033,0.0003780203,0.0006805845],"category_scores_gemma":[0.0008810826,0.0001596506,0.000435044,0.0007690837,0.000149127,0.0006248367,0.0002683467,0.0003309134,0.0001590379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007466819,"about_ca_system_score_gemma":0.0004490846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02912973,"about_ca_topic_score_gemma":0.03353244,"domain_scores_codex":[0.9999273,0.00001295438,0.000004260185,0.00002772876,0.00001296916,0.00001472265],"domain_scores_gemma":[0.9997653,0.00009003916,0.00004694594,0.00001519727,0.00007000938,0.00001253904],"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":[0.00007464232,0.00005610919,0.01617621,0.00004698572,0.00006937209,0.00008540344,0.00001495363,0.9332846,0.001386235,0.0007663511,0.001494547,0.0465446],"study_design_scores_gemma":[0.000001525385,0.00000455142,0.001184693,0.000001955174,0.000004804255,0.000004721804,0.000003851399,0.9979265,0.0001952059,0.0005511167,0.0001192902,0.000001755363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7235725,0.001604144,0.2619657,0.0007954011,0.0001449745,0.00005131538,0.005109563,0.001718053,0.005038321],"genre_scores_gemma":[0.9874575,0.0002727495,0.01016498,0.00004044042,0.0000182317,0.00001702205,0.001286602,0.0000174629,0.0007250434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912973,"threshold_uncertainty_score":0.05792034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984359689517875,"score_gpt":0.3105113423610374,"score_spread":0.2606677454658586,"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."}}