{"id":"W3127557989","doi":"10.1111/cgf.142627","title":"Levitating Rigid Objects with Hidden Rods and Wires","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Rod; Regular polygon; Polyhedron; Set (abstract data type); Computer science; Visibility; Term (time); Levitation; Shear (geology); Compression (physics); Algorithm; Mechanical engineering; Mathematics; Engineering; Geometry; Materials science; Physics; Composite material; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602997,0.0003238705,0.0003755704,0.00008983092,0.0002985969,0.00053603,0.0002893619,0.0002054844,0.000056238],"category_scores_gemma":[0.00001090111,0.0002403075,0.0001017646,0.0002107223,0.0001471635,0.00016454,0.0001779374,0.0006225864,0.000007151855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002684912,"about_ca_system_score_gemma":0.00008116806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423223,"about_ca_topic_score_gemma":0.01078505,"domain_scores_codex":[0.9982861,0.0001544638,0.0002274876,0.0006223212,0.0002925436,0.0004170963],"domain_scores_gemma":[0.999115,0.0001564069,0.0001315912,0.0003377394,0.00009550586,0.0001636972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001942494,0.00001566504,0.9148593,0.0002895104,0.0001409225,0.0001652509,0.00145176,0.0006904543,0.000002751413,0.0002490683,0.0006591331,0.08145674],"study_design_scores_gemma":[0.0003507284,0.0002821923,0.944476,0.0008396408,0.0000545975,0.0001280905,0.0008639045,0.04860799,0.00002018835,0.002643356,0.0008633402,0.0008699613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912394,0.004427877,0.001539099,0.0002658028,0.0009319338,0.0002019027,0.00007497874,0.0001378841,0.001181106],"genre_scores_gemma":[0.9872593,0.0002562925,0.01118404,0.0004959502,0.0001877702,0.000002193514,0.0005227058,0.00001004121,0.00008173335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08058678,"threshold_uncertainty_score":0.9799454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745136817480243,"score_gpt":0.2100940611023278,"score_spread":0.1926426929275254,"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."}}