{"id":"W4415029283","doi":"10.3390/rs17203399","title":"Distance Transform-Based Spatiotemporal Model for Approximating Missing NDVI from Satellite Data","year":2025,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Normalized Difference Vegetation Index; Satellite; Metric (unit); Vegetation (pathology); Boundary (topology); Satellite imagery; Temporal database; Spatial analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001472668,0.0008171367,0.0007512659,0.0007665243,0.000353901,0.0009468542,0.00252278,0.001105779,0.00128128],"category_scores_gemma":[0.004924307,0.0004869055,0.001101108,0.001217929,0.0005762277,0.001622879,0.0008677945,0.001632159,0.0004704095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918668,"about_ca_system_score_gemma":0.001865009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0732902,"about_ca_topic_score_gemma":0.03861869,"domain_scores_codex":[0.9993991,0.0001221669,0.00005323959,0.0001947849,0.0001528708,0.00007786712],"domain_scores_gemma":[0.9988155,0.0005110017,0.0001532265,0.00008819038,0.0003882301,0.00004381407],"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":[0.00004289569,0.0000253074,0.003480174,0.00004579733,0.00003412284,0.00007082441,0.00005521574,0.9732409,0.00108747,0.005639022,0.0006469528,0.01563135],"study_design_scores_gemma":[0.000001732978,0.000004342271,0.0001897117,0.000002630081,0.000004098582,0.00001036025,0.000004941976,0.9986787,0.0001389329,0.000705887,0.0002553352,0.000003202257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06484408,0.0005531879,0.9308657,0.0005041554,0.00006577901,0.00005946062,0.0008407945,0.0006570017,0.001609779],"genre_scores_gemma":[0.8511859,0.0006974282,0.1390919,0.0002202893,0.0000527396,0.0001904086,0.002437819,0.000190816,0.005932812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0732902,"threshold_uncertainty_score":0.1457272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953331031924635,"score_gpt":0.2697939932358721,"score_spread":0.2402606829166257,"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."}}