{"id":"W2408395959","doi":"","title":"AUTOMATIC BUILDING EXTRACTION FROM AERIAL IMAGES","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Object (grammar); Extraction (chemistry); Quality (philosophy); Data mining","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":[0.0002569628,0.0009754513,0.000760663,0.003183287,0.0004358019,0.0008746777,0.0006375241,0.0004875361,0.005127814],"category_scores_gemma":[0.0006408949,0.0004757781,0.0007158656,0.001862264,0.0002789502,0.0008951115,0.0006963382,0.0004366454,0.004106601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205611,"about_ca_system_score_gemma":0.0004277721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487463,"about_ca_topic_score_gemma":0.003868,"domain_scores_codex":[0.999552,0.00005043097,0.00002329258,0.0001067486,0.0002021963,0.00006539679],"domain_scores_gemma":[0.9997095,0.00005631657,0.00002216801,0.00008188513,0.0001172292,0.00001275695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001157751,0.00004414118,0.001439778,0.0003736019,0.00006787302,0.0001843392,0.00009018122,0.0129298,0.1688472,0.002527132,0.006687401,0.8066928],"study_design_scores_gemma":[0.00007623495,0.0002324916,0.03741585,0.0002412548,0.0002772254,0.001941092,0.0005083869,0.4051435,0.4248662,0.01047186,0.1186716,0.0001543379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04199694,0.001346167,0.9365827,0.0001277409,0.00009192753,0.0003056601,0.001827217,0.009227475,0.008494152],"genre_scores_gemma":[0.1740018,0.00169101,0.8086244,0.00008046264,0.00006702088,0.0001677429,0.007914417,0.0005591973,0.006893837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005127814,"threshold_uncertainty_score":0.01715428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945831623354179,"score_gpt":0.2441616706411299,"score_spread":0.2372158390177757,"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."}}