{"id":"W2351004905","doi":"","title":"Roof Detection Using LiDAR Data Based on Points' Normal with Weight","year":2009,"lang":"en","type":"article","venue":"Wuhan Daxue xuebao. Xinxi kexue ban","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Roof; Lidar; Point (geometry); Plane (geometry); Computer science; Remote sensing; Mathematics; Geometry; Geology; Structural engineering; Engineering","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":[0.0003979704,0.0008037672,0.0009821535,0.002735412,0.0004176126,0.0008898285,0.001001736,0.0006142603,0.0008224871],"category_scores_gemma":[0.001318232,0.0005385467,0.0006899287,0.002157471,0.0004431181,0.001211643,0.001228171,0.0006351431,0.0006289201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355718,"about_ca_system_score_gemma":0.0005886778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764586,"about_ca_topic_score_gemma":0.003050991,"domain_scores_codex":[0.9990079,0.00008421398,0.0000389862,0.0002014229,0.0005790313,0.00008857827],"domain_scores_gemma":[0.999272,0.00008732852,0.00009256105,0.00007763509,0.0004136403,0.00005690075],"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":[0.0002754135,0.0001109258,0.01311031,0.0001861898,0.00009506106,0.0002227531,0.0001920292,0.01991487,0.1565213,0.002213925,0.002082876,0.8050744],"study_design_scores_gemma":[0.00005765058,0.0002032484,0.01818064,0.00003720497,0.00006429615,0.0007008518,0.0002470934,0.882571,0.09050047,0.003036913,0.004279039,0.0001217071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059079,0.0001907601,0.8908634,0.00008709005,0.00007739149,0.0001114415,0.0002156061,0.00132909,0.001217227],"genre_scores_gemma":[0.4813014,0.0003038225,0.5157026,0.00003204984,0.0000598421,0.0001316565,0.0006387719,0.00008132575,0.001748545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002764586,"threshold_uncertainty_score":0.005496979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138780844890805,"score_gpt":0.2167517816232795,"score_spread":0.1953639731743715,"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."}}