{"id":"W2158604216","doi":"10.5539/apr.v1n1p15","title":"Mapping of Individual Oil Palm Trees Using Airborne Hyperspectral Sensing: An Overview","year":2009,"lang":"en","type":"article","venue":"Applied Physics Research","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Palm oil; Pixel; Computer science; RGB color model; Remote sensing; Norm (philosophy); Euclidean distance; Environmental science; Artificial intelligence; Computer vision; Geography; Agroforestry","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":[0.0002098223,0.0004171406,0.0002584353,0.001720291,0.0002122256,0.0007755317,0.0003327568,0.0004628241,0.001483371],"category_scores_gemma":[0.0001478265,0.0002716036,0.0003612052,0.0008660685,0.0001754773,0.0009282703,0.0002882828,0.0002353507,0.0007314982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002604,"about_ca_system_score_gemma":0.0002465462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195423,"about_ca_topic_score_gemma":0.003751931,"domain_scores_codex":[0.999853,0.00001581406,0.00001009226,0.00003846873,0.00007129255,0.00001123079],"domain_scores_gemma":[0.9999198,0.00002414688,0.000007081014,0.000006491536,0.00003733449,0.000005222408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007706613,0.00006996751,0.004718402,0.001233771,0.00008181053,0.0001799621,0.0001556773,0.00772813,0.06074126,0.003091032,0.003355842,0.9185671],"study_design_scores_gemma":[0.00004057861,0.0008081322,0.1052332,0.001044382,0.0005687531,0.006354182,0.001399827,0.1554172,0.1902811,0.02733376,0.5112373,0.0002816461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0790331,0.07758825,0.7937173,0.0004882549,0.0001494448,0.0002729947,0.0007721573,0.001403478,0.04657508],"genre_scores_gemma":[0.2363477,0.1028471,0.634635,0.0003085014,0.0004007473,0.0002685827,0.001490255,0.0001765454,0.02352558],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00195423,"threshold_uncertainty_score":0.004962385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254869287776562,"score_gpt":0.3507145845948406,"score_spread":0.2252276558171844,"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."}}