{"id":"W2484116175","doi":"","title":"EXTRACTION OF ROAD NETWORKS USING PAN-SHARPENED MULTISPECTRAL AND PANCHROMATIC QUICKBIRD IMAGES","year":2005,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université du Québec à Montréal; York University","funders":"","keywords":"Panchromatic film; Cartography; Humanities; Geography; Multispectral image; Forestry; Remote sensing; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002201,0.001550866,0.0005347242,0.003507008,0.0003851505,0.001207233,0.0005125726,0.0006296503,0.00245957],"category_scores_gemma":[0.0006934759,0.0005136998,0.001100648,0.00170653,0.0002435612,0.001307854,0.0004450746,0.0005071116,0.001935537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611913,"about_ca_system_score_gemma":0.0007413094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008588838,"about_ca_topic_score_gemma":0.0133338,"domain_scores_codex":[0.9997295,0.00001922211,0.00001506659,0.0000839312,0.0001054322,0.00004689517],"domain_scores_gemma":[0.9997751,0.00004572347,0.00003592198,0.00003054159,0.0001020944,0.00001065136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001239934,0.00007587035,0.008673583,0.0006303011,0.0001487711,0.0004912893,0.0002850571,0.05716968,0.1218183,0.00304113,0.002174496,0.8053676],"study_design_scores_gemma":[0.00004291646,0.0002606539,0.09071783,0.0002215008,0.0004332405,0.001976492,0.001246024,0.5867082,0.2483518,0.007123689,0.06271842,0.0001992023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134573,0.00114056,0.8721678,0.0001160209,0.00008082371,0.0002455249,0.001262577,0.003025771,0.00850345],"genre_scores_gemma":[0.3814802,0.002538414,0.5914194,0.00006440227,0.00005851598,0.0002431399,0.003709343,0.0003901819,0.02009639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008588838,"threshold_uncertainty_score":0.01707774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259309500213291,"score_gpt":0.2441195354685923,"score_spread":0.2315264404664594,"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."}}