{"id":"W2952581333","doi":"10.5070/s5261037376","title":"From God’s Eye to Ground Level: Aerial LiDAR as an Avenue to a Volumetric Understanding of Urban Spaces","year":2019,"lang":"en","type":"article","venue":"Streetnotes","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Lidar; Remote sensing; Viewpoints; Range (aeronautics); Geography; Aesthetics; Visual arts; Art; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006703757,0.0002118243,0.0001915787,0.002501557,0.0007340389,0.003670153,0.0006030452,0.000515152,0.003169029],"category_scores_gemma":[0.001762326,0.0002085931,0.0003121221,0.003155284,0.002386678,0.003391501,0.003353866,0.0008581742,0.0005287142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036151,"about_ca_system_score_gemma":0.0009196448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664448,"about_ca_topic_score_gemma":0.06517325,"domain_scores_codex":[0.9995091,0.000208366,0.00001671466,0.00006097512,0.000123561,0.0000813638],"domain_scores_gemma":[0.9995327,0.0001509261,0.00006323747,0.0001078537,0.000108952,0.0000363907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002490343,0.00009005408,0.1425077,0.001113947,0.00009756166,0.002738908,0.09780761,0.0140047,0.01555674,0.1731435,0.02890311,0.5237872],"study_design_scores_gemma":[0.00002508399,0.00009724209,0.1860111,0.001736279,0.00006877089,0.002491261,0.3363499,0.03329711,0.005598456,0.1029004,0.3312118,0.0002126076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6180001,0.004097903,0.177671,0.008581299,0.0003078373,0.0002287648,0.004292923,0.00039974,0.1864204],"genre_scores_gemma":[0.9225042,0.001270008,0.07045953,0.0003743021,0.00006010702,0.00006795219,0.0007497506,0.00008509828,0.004428964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664448,"threshold_uncertainty_score":0.03309518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349173887850722,"score_gpt":0.2570374807487313,"score_spread":0.2035457418702241,"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."}}