{"id":"W3108801108","doi":"10.1145/3414685.3417800","title":"MapTree","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Pointwise; A priori and a posteriori; Artificial intelligence; Representation (politics); Pattern recognition (psychology); Symmetry (geometry); Algorithm; Mathematics; Computer vision; Geometry","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":[0.0004192958,0.000893203,0.0007118434,0.002135102,0.0009505946,0.002308724,0.002117498,0.001133841,0.03466508],"category_scores_gemma":[0.00226244,0.0006415864,0.001108318,0.002612039,0.0004305288,0.004099754,0.003387989,0.001474024,0.02211427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366374,"about_ca_system_score_gemma":0.001103414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649794,"about_ca_topic_score_gemma":0.004901811,"domain_scores_codex":[0.9993423,0.00007642357,0.00003469036,0.0001425879,0.0003285158,0.00007542336],"domain_scores_gemma":[0.9992931,0.0001374614,0.00003354907,0.0002902366,0.0001822391,0.00006328589],"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":[0.0002117364,0.0001268636,0.0009264995,0.0007498119,0.0001068115,0.0002859992,0.0004305834,0.02016645,0.008137641,0.09460485,0.2219704,0.6522822],"study_design_scores_gemma":[0.00003668199,0.00006855222,0.0006364328,0.0001135641,0.00003753215,0.0006739504,0.0002262434,0.1100204,0.00981559,0.1060013,0.7723002,0.00006956991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005029631,0.0009967897,0.9047896,0.0005321484,0.0003505764,0.0002331862,0.00905061,0.04409526,0.03492213],"genre_scores_gemma":[0.08918527,0.001762922,0.8311877,0.0007889149,0.0001303396,0.0005337291,0.04024835,0.009198363,0.02696447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03466508,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843796480311391,"score_gpt":0.2120802099243879,"score_spread":0.183642245121274,"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."}}