{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469641,0.0001484986,0.0002196197,0.00008322873,0.00005152721,0.00004749342,0.00006496094,0.0000843538,0.00002815246],"category_scores_gemma":[0.00005976812,0.0001550747,0.00003945596,0.0001276691,0.00006122835,0.0003101568,0.0000157139,0.0001152184,0.0000207743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007993983,"about_ca_system_score_gemma":0.000009343448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000326369,"about_ca_topic_score_gemma":0.00001338071,"domain_scores_codex":[0.999086,0.00003553383,0.0003696812,0.0001462425,0.0001301476,0.0002324179],"domain_scores_gemma":[0.9994781,0.00007912292,0.00009500873,0.0002563978,0.0000371142,0.00005426431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000754026,0.00004330793,0.0001938602,0.0002648593,0.00005723893,0.000004694949,0.0003552361,0.08749605,0.7382635,0.00004068856,0.0002469701,0.173026],"study_design_scores_gemma":[0.0002150457,0.00001146322,0.04894288,0.0001047754,0.00003936709,0.00004903125,0.00004562166,0.9269626,0.02337816,0.0000683249,0.00003822324,0.0001445343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753462,0.0006214643,0.1229003,0.00006702308,0.0001282778,0.0001977077,0.000002518317,0.0002379488,0.0004985238],"genre_scores_gemma":[0.9241235,0.00009649096,0.07558372,0.000007849074,0.0001208299,0.000002425876,0.000005914485,0.00003530726,0.00002394369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8394665,"threshold_uncertainty_score":0.6323763,"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."}}