{"id":"W4401029622","doi":"10.1007/978-981-97-4214-1_3","title":"Spatial and Temporal Variations of SPI and SSI","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science","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":[0.0002182747,0.000199449,0.0001159942,0.0005964635,0.00009592269,0.0006354162,0.0002572158,0.000212156,0.00724054],"category_scores_gemma":[0.0007114934,0.0001618191,0.0002171521,0.002227926,0.0002170062,0.0005616999,0.0002101789,0.0002537184,0.002170089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314687,"about_ca_system_score_gemma":0.0001454111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229559,"about_ca_topic_score_gemma":0.006881685,"domain_scores_codex":[0.9999238,0.000006119903,0.000003680055,0.00002024672,0.00003832395,0.000007689347],"domain_scores_gemma":[0.9997997,0.0001005007,0.00002963643,0.00001654079,0.00004848243,0.000005079556],"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":[0.0001302853,0.00004556361,0.07991825,0.0002924017,0.0001108257,0.0004834766,0.0006717243,0.05804257,0.03908153,0.0496307,0.03813731,0.7334555],"study_design_scores_gemma":[0.000006840886,0.0001060311,0.6256815,0.00008340305,0.0001221004,0.001670659,0.0008237429,0.09848069,0.0141099,0.04590105,0.2129196,0.00009458865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4980667,0.01075707,0.1460597,0.002148272,0.0005072773,0.00003018528,0.01401825,0.001978399,0.3264341],"genre_scores_gemma":[0.8251672,0.006259743,0.02234446,0.000161065,0.0002594831,0.00002315796,0.005922453,0.0006662226,0.1391962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00724054,"threshold_uncertainty_score":0.02422202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154807789010965,"score_gpt":0.2112329905593966,"score_spread":0.199684912669287,"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."}}