{"id":"W7117631858","doi":"","title":"Automated Discovery of Parsimonious Spectral Indices via Normalized Difference Polynomials","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Discriminative model; Pairwise comparison; Polynomial; Feature (linguistics); Pattern recognition (psychology); Simple (philosophy); Feature selection; Base (topology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003123913,0.0005879446,0.0009330851,0.0004658183,0.0001713188,0.0001822378,0.0005813859,0.0003866838,0.00004483988],"category_scores_gemma":[0.0003176956,0.0006318967,0.0002684447,0.001043698,0.0003614337,0.0006212717,0.0001698244,0.0004925316,0.0001304283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521235,"about_ca_system_score_gemma":0.0001988063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004859591,"about_ca_topic_score_gemma":0.00006746159,"domain_scores_codex":[0.99669,0.0002027058,0.001321846,0.0006687892,0.0003419335,0.0007747624],"domain_scores_gemma":[0.9978268,0.0003535939,0.0004857818,0.001071398,0.0001365452,0.0001259019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000114125,0.0001751092,0.2757008,0.0005103889,0.0003875013,0.00002461783,0.0005219687,0.001593501,0.7169191,0.00008649209,0.0003632059,0.003603143],"study_design_scores_gemma":[0.000779991,0.00005256107,0.6283723,0.0004340656,0.0001919978,0.000005216815,0.0000728919,0.1079028,0.2616682,0.00006160863,0.00009100037,0.0003673498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801257,0.001301637,0.01293353,0.0003593528,0.001927278,0.0005507094,0.00003971947,0.00077417,0.001987895],"genre_scores_gemma":[0.9969193,0.0004631194,0.0008677817,0.00006816837,0.000146666,0.000007700846,0.00004181577,0.00007683952,0.001408559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552509,"threshold_uncertainty_score":0.9996132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919149347444892,"score_gpt":0.2586242110273889,"score_spread":0.2394327175529399,"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."}}