{"id":"W4400249024","doi":"10.3390/rs16132426","title":"Correction: Osouli, M.; F. Samavati, F. Evaluation of Data Sufficiency for Interannual Knowledge Transfer of Crop Type Classification Models. Remote Sens. 2024, 16, 2007","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Remote sensing; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005261055,0.003926093,0.002847798,0.008844345,0.003360993,0.004126917,0.004847933,0.003816151,0.1158775],"category_scores_gemma":[0.1008732,0.001469263,0.002140445,0.006692378,0.00205134,0.003246906,0.003266359,0.005894371,0.04874914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060465,"about_ca_system_score_gemma":0.005296478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03011944,"about_ca_topic_score_gemma":0.02826199,"domain_scores_codex":[0.9943376,0.0008889024,0.001010555,0.001002412,0.002350456,0.0004101437],"domain_scores_gemma":[0.9442908,0.007942061,0.002756434,0.005074293,0.0383526,0.001583833],"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":[0.00003512898,0.000005428488,0.0001680655,0.000316334,0.00002611062,0.0001457435,0.00005754165,0.00007129127,0.00007984335,0.0006290968,0.9909291,0.007536326],"study_design_scores_gemma":[0.00005241486,0.00002077457,0.002020926,0.0005417201,0.00008680596,0.0005186256,0.0001338557,0.0006138716,0.0006130327,0.001538836,0.9937976,0.00006138499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004826029,0.002022941,0.002671828,0.02770835,0.9525625,0.00007255549,0.009609411,0.001363244,0.003506564],"genre_scores_gemma":[0.06905748,0.01609862,0.02833236,0.05217192,0.386345,0.0009131936,0.0408386,0.01011475,0.3961281],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1158775,"threshold_uncertainty_score":0.3876488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342059714216387,"score_gpt":0.3367304087773935,"score_spread":0.2025244373557548,"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."}}