{"id":"W2096616111","doi":"10.1016/j.comgeo.2004.12.004","title":"When can a net fold to a polyhedron?","year":2005,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polyhedron; Dihedral angle; Net (polyhedron); Fold (higher-order function); Folding (DSP implementation); Combinatorics; Time complexity; Mathematics; Computer science; Geometry; Algorithm; Physics; Structural engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001114661,0.000107097,0.0001048691,0.0002464568,0.0001267729,0.0001496847,0.0006831095,0.00003299217,0.00008573297],"category_scores_gemma":[0.00001932452,0.0001136756,0.00005363557,0.0007459419,0.00001768088,0.0001784803,0.0002491755,0.00007514434,0.0007930095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006278083,"about_ca_system_score_gemma":0.00009151956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002685579,"about_ca_topic_score_gemma":0.00001445515,"domain_scores_codex":[0.998925,0.00001733471,0.00018895,0.0003366482,0.0003049157,0.0002271354],"domain_scores_gemma":[0.9992499,0.00009761063,0.00004389912,0.0003547065,0.00007517338,0.0001787129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004309565,0.0003631119,0.001117769,0.0000136937,0.00005116825,0.00001064033,0.001703274,0.1326791,0.0007688872,0.4708541,0.08031153,0.3121224],"study_design_scores_gemma":[0.0005304171,0.00008260184,0.03603939,0.00001612018,0.000009293984,0.00006965127,0.00002398768,0.6177335,0.0006309271,0.04561623,0.2987483,0.0004995334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04301159,0.0001095307,0.9380273,0.01665983,0.00008868385,0.0001681579,0.0000148754,0.0002374051,0.001682621],"genre_scores_gemma":[0.7443259,5.279825e-7,0.2515097,0.003193324,0.0001338584,0.00002812953,0.00002989566,0.000007441525,0.000771301],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7013143,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190106065325264,"score_gpt":0.2493156393802527,"score_spread":0.2374145787270001,"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."}}