{"id":"W2135260259","doi":"","title":"A METHOD FOR CONTINUOUS EXTRACTION OF MULTISPECTRALLY CLASSIFIED URBAN RIVERS","year":2000,"lang":"en","type":"article","venue":"Photogrammetric Engineering & Remote Sensing","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Noise (video); Multispectral image; Extraction (chemistry); Remote sensing; Pixel; Geography; Computer science; Artificial intelligence; Cartography; Image (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":[0.0003172211,0.0005553614,0.000416504,0.001668449,0.0004540403,0.0006066264,0.0006700555,0.0006371156,0.002264818],"category_scores_gemma":[0.0005005472,0.000493553,0.0006205367,0.0008548113,0.0004640761,0.0007736034,0.0004547984,0.0005642884,0.001257681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551849,"about_ca_system_score_gemma":0.0005490344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883797,"about_ca_topic_score_gemma":0.003528513,"domain_scores_codex":[0.9995666,0.00003972532,0.00003023279,0.0001456634,0.0001889481,0.00002877963],"domain_scores_gemma":[0.9996679,0.00007289679,0.0000384319,0.00007431933,0.0001299813,0.0000164854],"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":[0.00007493527,0.00008345352,0.001277901,0.0002523676,0.00004965988,0.0001273856,0.000125574,0.004666934,0.2598232,0.002306846,0.003308862,0.727903],"study_design_scores_gemma":[0.000126788,0.0003881508,0.02720623,0.00007557253,0.000170611,0.003389485,0.0001793666,0.4125466,0.463784,0.002971358,0.08884531,0.0003165563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01062441,0.0002003597,0.9859076,0.00003858609,0.00006634514,0.00008913237,0.0001274708,0.001758123,0.001187909],"genre_scores_gemma":[0.05693637,0.0001671419,0.9381098,0.0000344038,0.0000311854,0.0001444997,0.0003136054,0.0001068544,0.004156138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002264818,"threshold_uncertainty_score":0.007576585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009123108205217044,"score_gpt":0.243352921353787,"score_spread":0.2342298131485699,"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."}}