{"id":"W4392826065","doi":"10.1134/s199508022311029x","title":"A Modified Mixture Model-Based Clustering Algorithm for Resolving the Problem of Mixed Pixels Available in Satellite Imagery","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Pixel; Mathematics; Satellite; Cluster analysis; Algorithm; Remote sensing; Satellite imagery; Artificial intelligence; Computer science; Geography; Statistics","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":[0.004447063,0.0002178584,0.000566115,0.0003039837,0.00008851111,0.0001249226,0.001140564,0.0001276282,0.000002561172],"category_scores_gemma":[0.000139335,0.0001488672,0.0002673614,0.0007206189,0.00005923723,0.000340804,0.00018741,0.0003401332,0.000004419347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005984445,"about_ca_system_score_gemma":0.0002251228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002573551,"about_ca_topic_score_gemma":0.000004293594,"domain_scores_codex":[0.9976602,0.0001533468,0.001093124,0.0002152062,0.0004637631,0.0004143828],"domain_scores_gemma":[0.9974316,0.0008301469,0.000810148,0.0005230777,0.0003111857,0.00009377738],"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":[0.00009205806,0.0009350416,0.00003831896,0.003156986,0.0002758937,0.0001625918,0.014269,0.1951452,0.01561208,0.04419481,0.008244673,0.7178734],"study_design_scores_gemma":[0.0006578436,0.00007403391,0.000007036562,0.0004893769,0.00002790206,0.00004987128,0.00006504869,0.8867409,0.002784003,0.1087881,0.000176029,0.0001398723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001576815,0.0006001209,0.9960718,0.0005757536,0.0001296144,0.000399794,0.000007672571,0.00003527804,0.0006032206],"genre_scores_gemma":[0.007308422,0.0001143198,0.9920441,0.00008936918,0.00006380207,0.00001763787,0.000001069792,0.00002746729,0.0003338272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7177335,"threshold_uncertainty_score":0.6070629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011663520160773,"score_gpt":0.2827471283570652,"score_spread":0.2426304931554575,"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."}}