{"id":"W7073655318","doi":"","title":"From Pixels to Geographic Objects in Remote Sensing Image Analysis","year":2012,"lang":"en","type":"article","venue":"Utrecht University Repository (Utrecht University)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Filter (signal processing); Vegetation (pathology); Noise (video); Context (archaeology); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002329678,0.000378099,0.0005123909,0.002807609,0.0002700639,0.00006426359,0.0004568989,0.0003237643,0.00003321278],"category_scores_gemma":[0.00004089388,0.0005279897,0.0003059602,0.004586031,0.0001308569,0.0008822726,0.0001750884,0.0004698281,0.00008521641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275375,"about_ca_system_score_gemma":0.00006188027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083226,"about_ca_topic_score_gemma":0.0005959036,"domain_scores_codex":[0.9978229,0.0002858847,0.0002657394,0.0005936993,0.0003305157,0.0007012198],"domain_scores_gemma":[0.9982277,0.0002029323,0.0001178459,0.0008506229,0.000139756,0.0004611511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001019115,0.0007748008,0.09006127,0.0003125746,0.008033493,0.0101428,0.02783018,0.03792585,0.6599145,0.000457306,0.006768495,0.1567596],"study_design_scores_gemma":[0.007071357,0.0002417981,0.3006567,0.0009439074,0.008984719,0.0002148785,0.03735315,0.2692193,0.1561969,0.0002408853,0.2118677,0.00700875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525009,0.00007592035,0.06570368,0.000112172,0.0008095509,0.0003173054,0.00002608988,0.000809008,0.07964541],"genre_scores_gemma":[0.9689437,0.00005809953,0.02494199,0.00002457625,0.0001709599,1.462218e-8,0.00004625461,0.00004468687,0.005769785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5037176,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007700206454073195,"score_gpt":0.1784066447111033,"score_spread":0.1707064382570301,"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."}}