{"id":"W2154384023","doi":"10.3138/6r12-2gv6-x501-2306","title":"Digital Cliff Drawing for Topographic Maps: Traditional Representations by Means of New Technologies","year":2001,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cliff; Topographic map (neuroanatomy); Ridge; Geology; Computer science; Cartography; Geography; Computer graphics (images); Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008348576,0.0007084429,0.0003751103,0.002715541,0.0006809485,0.003665603,0.001175637,0.000625398,0.01951067],"category_scores_gemma":[0.003544861,0.0003580408,0.0004981103,0.004136059,0.001161597,0.00335422,0.002140672,0.001276424,0.004284181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003965109,"about_ca_system_score_gemma":0.0004138937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135081,"about_ca_topic_score_gemma":0.001784734,"domain_scores_codex":[0.9991902,0.0001915128,0.0000357374,0.00008228257,0.0004519296,0.00004845416],"domain_scores_gemma":[0.9987381,0.0004407489,0.00004983245,0.000474651,0.0002397093,0.00005690224],"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":[0.00008657331,0.00003523665,0.0006147992,0.0006307897,0.00002759049,0.0004010819,0.002162533,0.008630037,0.01294169,0.1176569,0.04076735,0.8160454],"study_design_scores_gemma":[0.00003287257,0.00007177045,0.001650906,0.000286894,0.00003620766,0.001603886,0.0008099055,0.03130138,0.01607877,0.07275604,0.8752588,0.0001126234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007126829,0.001666725,0.9460137,0.0005314877,0.0003428785,0.0001423397,0.0004991913,0.003327001,0.04034994],"genre_scores_gemma":[0.101856,0.005283461,0.8597929,0.0003861804,0.0004106623,0.0002254519,0.001401727,0.002047045,0.02859653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01951067,"threshold_uncertainty_score":0.06526965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391066348160143,"score_gpt":0.3006949938968598,"score_spread":0.2767843304152584,"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."}}