{"id":"W2136085826","doi":"10.1109/igarss.1989.578751","title":"Eigenvector Projection Transformation and Dimension Size Reduction in Remote Sensing Data Processing","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dimensionality reduction; Transformation (genetics); Reduction (mathematics); Dimension (graph theory); Projection (relational algebra); Computer science; Eigenvalues and eigenvectors; Data reduction; Artificial intelligence; Computer vision; Mathematics; Algorithm; Data mining; Physics; Geometry; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003324024,0.00008444412,0.00008947954,0.00007747703,0.0001314772,0.00007196251,0.00004076622,0.00005647947,0.0000459257],"category_scores_gemma":[0.00003022585,0.00006465011,0.00000875601,0.0001846387,0.00002248401,0.0007679823,0.000004543961,0.0001005084,0.00001408004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006438931,"about_ca_system_score_gemma":0.00002603022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005045268,"about_ca_topic_score_gemma":0.01124052,"domain_scores_codex":[0.9992471,0.0000508063,0.0001831064,0.0002370926,0.0001267669,0.0001551658],"domain_scores_gemma":[0.9997358,0.00002778237,0.00004079469,0.0001332084,0.00001872598,0.00004364598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003419372,0.000002819279,0.0005659802,0.00001472914,0.000001336773,0.000001090886,0.0006999928,0.0004955615,0.0006932718,6.35492e-7,0.00004610992,0.9974443],"study_design_scores_gemma":[0.0002479872,0.00002970278,0.03966494,0.00005287547,0.000007405699,0.0001175141,0.0003719805,0.9567916,0.0006763684,0.00005717244,0.001871042,0.0001113967],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914212,0.0001927288,0.002495975,0.0006797647,0.000124798,0.0001595182,0.000003403266,0.00007164915,0.004850988],"genre_scores_gemma":[0.9792673,0.0001118516,0.02020571,0.00006284491,0.0001497792,3.63265e-9,0.00008675932,0.0000026055,0.0001131472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9973329,"threshold_uncertainty_score":0.7626969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719500265045207,"score_gpt":0.2453373316485989,"score_spread":0.2181423289981468,"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."}}