{"id":"W2405087042","doi":"10.1145/2851581.2891093","title":"Avian Attractor","year":2016,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ontario College of Art and Design","funders":"","keywords":"Computer science; Merge (version control); Computer graphics (images); Attractor; Computer vision; Flocking (texture); Point cloud; Artificial intelligence; Human–computer interaction; Visual arts; 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":[0.0002667178,0.000514895,0.0002520951,0.0005933806,0.000478143,0.0009918588,0.0006064094,0.000472664,0.09497783],"category_scores_gemma":[0.0007920665,0.0003334958,0.0003785662,0.0002894783,0.0003755496,0.001126496,0.00153524,0.0004406235,0.01853395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980579,"about_ca_system_score_gemma":0.0003453268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050481,"about_ca_topic_score_gemma":0.005943044,"domain_scores_codex":[0.9998233,0.00001912955,0.000007802757,0.0000536783,0.00007389359,0.00002232154],"domain_scores_gemma":[0.9997166,0.00005173557,0.0000130387,0.00006676844,0.00007242298,0.00007950111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009808419,0.0001465377,0.00549395,0.001121471,0.00007080995,0.0007444594,0.001918783,0.003168104,0.1179698,0.04416933,0.2579043,0.5663117],"study_design_scores_gemma":[0.0000549133,0.0002904528,0.007586043,0.0001506765,0.0000392259,0.001097707,0.0003522784,0.007676197,0.01397855,0.004236412,0.9644684,0.00006906522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07282045,0.001855022,0.2523202,0.0006966698,0.0009128865,0.0006936488,0.01294872,0.06054612,0.5972062],"genre_scores_gemma":[0.3167686,0.001370245,0.2873843,0.0005435622,0.0001452525,0.0005138913,0.02078401,0.00823674,0.3642533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09497783,"threshold_uncertainty_score":0.3177325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381469453167013,"score_gpt":0.2001034047389045,"score_spread":0.1762887102072343,"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."}}