{"id":"W2122796335","doi":"10.1145/2461912.2461952","title":"Image-based reconstruction and synthesis of dense foliage","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Point cloud; Computer science; Computation; Tree (set theory); Artificial intelligence; Scale (ratio); 3D reconstruction; Point (geometry); Computer vision; Set (abstract data type); Algorithm; Pattern recognition (psychology); Geometry; Mathematics","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":[0.0002302759,0.0004509204,0.0004885368,0.0007968874,0.0001726606,0.0005960768,0.0004223458,0.0004866071,0.001198671],"category_scores_gemma":[0.0005402873,0.0004212166,0.0005768275,0.0004863785,0.0002819607,0.0004742545,0.0005132867,0.000547202,0.0004632145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271236,"about_ca_system_score_gemma":0.0003575856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778408,"about_ca_topic_score_gemma":0.003842259,"domain_scores_codex":[0.9998338,0.00001503377,0.000007448248,0.00004597176,0.0000788667,0.0000188665],"domain_scores_gemma":[0.999767,0.00006780805,0.0000210664,0.00006575837,0.0000548082,0.00002347857],"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":[0.0001309838,0.00008161952,0.003562211,0.0002028154,0.00008455757,0.0003917673,0.0003510641,0.2808194,0.4605373,0.005424426,0.001825669,0.2465881],"study_design_scores_gemma":[0.00001374174,0.00005978881,0.00326668,0.00001242032,0.00001759421,0.0002940992,0.0000694944,0.9394976,0.0520664,0.002243606,0.002436426,0.00002203318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08557218,0.00009270407,0.911416,0.0000441149,0.00001945599,0.00003804974,0.0002410025,0.001174714,0.001401897],"genre_scores_gemma":[0.4029553,0.0001613405,0.5947145,0.00003752162,0.00001633515,0.00004009428,0.0007358313,0.0002386005,0.001100507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001778408,"threshold_uncertainty_score":0.004009962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008756543261699707,"score_gpt":0.2092817843482923,"score_spread":0.2005252410865926,"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."}}