{"id":"W6794522","doi":"","title":"Extraction of Lakes from Satellite Imagery","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial intelligence; Boundary (topology); Probabilistic logic; Satellite imagery; Set (abstract data type); Bounding overwatch; Satellite; Pattern recognition (psychology); Object (grammar); Computer vision; Remote sensing; Data mining; Geography; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508283,0.0005145788,0.0003181976,0.003520284,0.0006524617,0.0007653838,0.0003719433,0.0005410613,0.001598282],"category_scores_gemma":[0.000504422,0.0003839797,0.0004603638,0.002400282,0.0001934517,0.0005536207,0.0007352469,0.000333897,0.001679811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183012,"about_ca_system_score_gemma":0.0005863466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004262197,"about_ca_topic_score_gemma":0.01195928,"domain_scores_codex":[0.9998639,0.00000904463,0.00001166426,0.00003028048,0.000059694,0.00002543223],"domain_scores_gemma":[0.9998068,0.00002743478,0.00003911366,0.00003702366,0.00007301284,0.00001660899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002942523,0.00008206193,0.1130278,0.0009803042,0.0001842566,0.008963963,0.001279701,0.003571967,0.4399612,0.0008965553,0.003762121,0.4269958],"study_design_scores_gemma":[0.00006984783,0.000354274,0.4280873,0.0003469883,0.0009298437,0.02157791,0.004961799,0.07968575,0.3136106,0.004623741,0.1455651,0.0001868826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673956,0.00369273,0.1048698,0.0006799073,0.0001467468,0.0004563555,0.008396768,0.002039445,0.01232269],"genre_scores_gemma":[0.7136565,0.002116452,0.2696534,0.0001038021,0.00008164417,0.0001115505,0.008354421,0.000231644,0.005690563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004262197,"threshold_uncertainty_score":0.008474827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517229280990161,"score_gpt":0.225698348943783,"score_spread":0.2105260561338814,"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."}}