{"id":"W2049212347","doi":"10.1016/j.isprsjprs.2014.07.012","title":"A web-based system for supporting global land cover data production","year":2014,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Workflow; Database; Land cover; Data integration; Web service; Visualization; Data mining; World Wide Web; Land use; Engineering","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":[0.004894496,0.0001043495,0.0002804625,0.0001376498,0.0006711309,0.0001485506,0.000147572,0.00008433886,0.000001004816],"category_scores_gemma":[0.001242595,0.00008530128,0.00008637178,0.0003730303,0.0001531003,0.0003039211,0.00003794379,0.0001091558,0.000001272754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006669434,"about_ca_system_score_gemma":0.0001246503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560775,"about_ca_topic_score_gemma":0.0009494961,"domain_scores_codex":[0.9984434,0.0001741513,0.0005605882,0.000147083,0.0003918219,0.0002829403],"domain_scores_gemma":[0.998228,0.0001795355,0.0007815193,0.0001793137,0.0005208217,0.0001108291],"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":[0.0003203967,0.00003691216,0.01610992,0.00104032,0.0003167354,0.00002007675,0.005354655,0.0003218234,0.0008732603,0.0004335399,0.002379084,0.9727933],"study_design_scores_gemma":[0.007471318,0.0006189257,0.003087651,0.003492972,0.0007678533,0.001376528,0.05851548,0.3363818,0.001805845,0.001497684,0.5838611,0.001122946],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6002723,0.0004386017,0.3854693,0.001893189,0.00482335,0.0008543449,0.00003376299,0.0001094211,0.006105729],"genre_scores_gemma":[0.987547,0.00002079173,0.0115879,0.00007863864,0.0007295754,4.424563e-8,0.000004244182,0.000005943975,0.00002589251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9716703,"threshold_uncertainty_score":0.5161864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872661950592614,"score_gpt":0.3164004605201332,"score_spread":0.287673841014207,"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."}}