{"id":"W4408408956","doi":"10.1080/07038992.2025.2479299","title":"Correction","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Computer science; Information retrieval; Library science; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243361,0.00006893952,0.0001317264,0.0003396138,0.0001805813,0.00008003535,0.00006738467,0.00005465343,0.00007454769],"category_scores_gemma":[0.000193801,0.00005700215,0.00006613839,0.0002639473,0.00004299196,0.00007579516,7.741306e-7,0.0002067295,0.00002067026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181768,"about_ca_system_score_gemma":0.0007400698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07770114,"about_ca_topic_score_gemma":0.3264492,"domain_scores_codex":[0.9993963,0.00004859413,0.000198757,0.00007186787,0.00008090948,0.000203537],"domain_scores_gemma":[0.9993703,0.00007024757,0.00008955946,0.00008715361,0.0001202004,0.0002625598],"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":[0.000007547686,2.00381e-7,0.003095768,0.000002552172,0.00001234622,0.0001537588,0.00008863238,0.0004626854,0.000007314987,0.000001522797,0.008651925,0.9875157],"study_design_scores_gemma":[0.0004216356,0.0001038774,0.1614582,0.0005976313,0.0000632498,0.001936028,0.0005357329,0.273335,0.0004498638,0.001721431,0.5591562,0.0002211239],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530625,0.001639906,0.03009758,0.001848437,0.01666092,0.00006446282,0.000003701856,0.00001819188,0.1966043],"genre_scores_gemma":[0.9845038,0.00002802872,0.01306561,0.0005176747,0.0002196534,3.000608e-11,0.000002548873,0.000002048732,0.00166064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9872946,"threshold_uncertainty_score":0.9284405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023719761816614,"score_gpt":0.2036359217917943,"score_spread":0.1933987241736281,"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."}}