{"id":"W4413332524","doi":"10.1016/j.procs.2025.07.184","title":"Soil pH Prediction Using Deep Learning: An Ensemble Approach","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Ensemble learning; Deep learning; Artificial intelligence; Machine learning","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":[0.0009983911,0.0008713133,0.0008591695,0.0009806625,0.0002595282,0.0006943786,0.0009286883,0.0007402792,0.0006560114],"category_scores_gemma":[0.001532374,0.0003438868,0.0007578004,0.0007082988,0.0001925102,0.0009534718,0.0007225915,0.001107205,0.0002560033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965189,"about_ca_system_score_gemma":0.0005450111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008339204,"about_ca_topic_score_gemma":0.01064276,"domain_scores_codex":[0.9997714,0.00005285434,0.00001418973,0.00006854074,0.00005058927,0.00004245945],"domain_scores_gemma":[0.9994193,0.0002344527,0.00004913684,0.00006042292,0.0002018012,0.0000349303],"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":[0.0001406487,0.000174412,0.01127726,0.00004225571,0.0002501362,0.00007438037,0.0000463248,0.7774729,0.003399779,0.000916494,0.001733428,0.2044721],"study_design_scores_gemma":[0.000002059293,0.0000122609,0.0004808127,0.000002738171,0.00001047642,0.000003891941,0.000003910909,0.9985244,0.0003912065,0.0004521,0.0001130398,0.00000305102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3201309,0.00184422,0.6707622,0.0007553988,0.0001757453,0.00006346162,0.0008488058,0.001928779,0.003490494],"genre_scores_gemma":[0.9442862,0.0004453982,0.05252171,0.0001268083,0.00009056868,0.00004251638,0.0008995711,0.00003692809,0.001550331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008339204,"threshold_uncertainty_score":0.0165813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457459038128477,"score_gpt":0.2350478643565754,"score_spread":0.2204732739752906,"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."}}