{"id":"W1517325806","doi":"10.3390/rs70708779","title":"River Detection in Remotely Sensed Imagery Using Gabor Filtering and Path Opening","year":2015,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Panchromatic film; Remote sensing; Computer science; Geology; Filter (signal processing); Channel (broadcasting); Channelized; Artificial intelligence; Image (mathematics); Computer vision; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330136,0.0003456097,0.0003145087,0.001388525,0.0001460689,0.0004545535,0.0002542441,0.0003816825,0.0004407075],"category_scores_gemma":[0.0005363778,0.0002577842,0.0003835531,0.0008066776,0.0003474548,0.0005554997,0.0002800622,0.0002212081,0.0002638308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715891,"about_ca_system_score_gemma":0.0001899007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009010638,"about_ca_topic_score_gemma":0.00182941,"domain_scores_codex":[0.9998055,0.00003140877,0.00001101225,0.00006218917,0.00005916164,0.00003081684],"domain_scores_gemma":[0.9997904,0.00008333889,0.00005283725,0.00002847153,0.00003482036,0.00001021695],"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":[0.0002707221,0.0001257176,0.0132596,0.0002580549,0.00008362337,0.0005227163,0.0002501683,0.01830248,0.480222,0.001578764,0.0008353255,0.4842908],"study_design_scores_gemma":[0.00005209602,0.0004554672,0.1518646,0.00007914136,0.0001895248,0.001798564,0.0003607325,0.5692164,0.2682632,0.002573951,0.00502203,0.0001243738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3751832,0.0003567455,0.6204554,0.000063652,0.0000314705,0.00008857455,0.0001823347,0.001503461,0.002135148],"genre_scores_gemma":[0.6852254,0.0003212663,0.3131786,0.00003581106,0.00001641942,0.00004317534,0.0002261307,0.0000579456,0.0008952522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001388525,"threshold_uncertainty_score":0.001791596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259338885542902,"score_gpt":0.2410775951625837,"score_spread":0.2151437066082935,"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."}}