{"id":"W4414432013","doi":"10.1109/jsen.2025.3611310","title":"Next-Generation Intelligent Prediction Model for Real-Time Soil Nutrients’ Monitoring in Sustainable Farming","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Soil fertility; Nutrient; Mean squared error; Linear regression; Crop yield; Coefficient of determination; Agriculture; Fertilizer","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":[0.0007149888,0.0006948728,0.0009519115,0.0006104687,0.000432772,0.0008630094,0.001020008,0.0008836649,0.001724091],"category_scores_gemma":[0.00102696,0.0003450757,0.000790076,0.0006266434,0.0001975744,0.0008360855,0.0005216756,0.0007641926,0.0004748018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502464,"about_ca_system_score_gemma":0.001102638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986039,"about_ca_topic_score_gemma":0.01749096,"domain_scores_codex":[0.9997786,0.00003586377,0.00001604429,0.00008298071,0.00004965383,0.00003676541],"domain_scores_gemma":[0.9997432,0.0001053137,0.00003204953,0.00001472308,0.00009290712,0.00001171694],"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":[0.0001076586,0.00009822033,0.004073069,0.00006039354,0.000078892,0.0001129717,0.00005537707,0.9099314,0.003450118,0.001373637,0.001689184,0.07896911],"study_design_scores_gemma":[0.000002220845,0.000009966956,0.0002729871,0.000002069074,0.000005922428,0.000006210405,0.000003118407,0.9990003,0.0002125431,0.0002589134,0.0002230239,0.000002783625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09698247,0.001051344,0.8940266,0.0004283117,0.0001305094,0.00007988134,0.0004970579,0.002193808,0.004609985],"genre_scores_gemma":[0.8740491,0.0005465943,0.1186383,0.0001523018,0.00004706878,0.0002952327,0.0008952693,0.00008356952,0.005292534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01986039,"threshold_uncertainty_score":0.03948957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357319784375324,"score_gpt":0.3143080389280566,"score_spread":0.2707348410843033,"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."}}