{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002466753,0.001933443,0.001225306,0.0068709,0.002947058,0.00583439,0.002452021,0.003420901,0.3332677],"category_scores_gemma":[0.04464407,0.0008877136,0.001395696,0.005139041,0.001520095,0.00430559,0.002992356,0.005200398,0.1787787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003717659,"about_ca_system_score_gemma":0.005429855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01557149,"about_ca_topic_score_gemma":0.01448473,"domain_scores_codex":[0.9958771,0.0004613772,0.0004633385,0.0007322325,0.002081935,0.0003838673],"domain_scores_gemma":[0.9648702,0.004366827,0.001276255,0.003510414,0.02463144,0.001344903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002305988,0.000003614355,0.00008697322,0.0001018384,0.000005402049,0.00006038955,0.0000216877,0.00003232454,0.00004266403,0.000975199,0.9889517,0.009695101],"study_design_scores_gemma":[0.00001222942,0.000006159932,0.0003355666,0.0001223184,0.000007263243,0.0001173951,0.0000407301,0.00006142325,0.0001748388,0.0006041094,0.9985052,0.00001273305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003965764,0.001416723,0.001743603,0.03373509,0.9109523,0.00009184593,0.01106957,0.00216585,0.03842841],"genre_scores_gemma":[0.0156961,0.005732812,0.005138135,0.02187254,0.1813933,0.0002687613,0.02076372,0.004563689,0.744571],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3332677,"threshold_uncertainty_score":0,"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."}}