{"id":"W2078013119","doi":"10.1145/1278780.1278782","title":"Light threads","year":2007,"lang":"en","type":"article","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Terrain; Digital elevation model; Human–computer interaction; Geography; Remote sensing; Cartography","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":[0.001468589,0.001214942,0.001086628,0.00169978,0.002332871,0.006549734,0.002885424,0.002205152,0.1841211],"category_scores_gemma":[0.007306308,0.001273923,0.001597305,0.001399689,0.001314765,0.008639856,0.006900227,0.002613245,0.08039691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202005,"about_ca_system_score_gemma":0.001803274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398525,"about_ca_topic_score_gemma":0.005853442,"domain_scores_codex":[0.9984543,0.0001850556,0.0001044869,0.0003658845,0.0005521078,0.0003380537],"domain_scores_gemma":[0.9971225,0.0005811009,0.0001086299,0.00110201,0.0006847055,0.0004011247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001645296,0.0003211171,0.001891479,0.0008164742,0.00007949874,0.0003773823,0.001423787,0.002198893,0.008054052,0.272424,0.4485785,0.2621896],"study_design_scores_gemma":[0.0001554708,0.00004997632,0.000305882,0.000184888,0.00003492241,0.0001252157,0.0002497939,0.009005008,0.004118673,0.1087416,0.8769789,0.00004969662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01325243,0.001923851,0.5207524,0.003180622,0.002747767,0.001088552,0.0113698,0.1213658,0.3243189],"genre_scores_gemma":[0.1620055,0.002784134,0.3131982,0.003334868,0.001230204,0.002239236,0.02717583,0.05714042,0.4308916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1841211,"threshold_uncertainty_score":0.6159466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007945967511122901,"score_gpt":0.2195462976564412,"score_spread":0.2116003301453183,"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."}}