{"id":"W2294852551","doi":"","title":"Online Packing of Equilateral Triangles","year":2015,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equilateral triangle; Competitive analysis; Online algorithm; Computer science; Sequence (biology); Packing problems; Unit (ring theory); Upper and lower bounds; Algorithm; Combinatorics; Mathematics; 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":[0.0007132847,0.0007436416,0.001675228,0.0006048071,0.0008100368,0.001563182,0.00243612,0.001775447,0.009904262],"category_scores_gemma":[0.006886223,0.0007240881,0.0007125299,0.002127427,0.0008816377,0.003875621,0.002157501,0.001471548,0.001476704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008976335,"about_ca_system_score_gemma":0.0005398017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841166,"about_ca_topic_score_gemma":0.001889353,"domain_scores_codex":[0.9982159,0.0004517741,0.0000960067,0.0003875296,0.0004926175,0.0003561263],"domain_scores_gemma":[0.9952337,0.00260388,0.0004810792,0.001042307,0.0002821621,0.0003568323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00138681,0.0007499795,0.002472319,0.000429496,0.00008673831,0.0008990602,0.000291783,0.7024921,0.01653047,0.055173,0.01094931,0.208539],"study_design_scores_gemma":[0.00007217453,0.0001347511,0.0002974656,0.000014256,0.00001078559,0.0002129551,0.00007068527,0.9565141,0.003723806,0.03546186,0.003475208,0.00001205557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2818844,0.001330823,0.6812604,0.001051218,0.0002943175,0.0002228145,0.0006598881,0.00171168,0.03158445],"genre_scores_gemma":[0.7024815,0.0006522555,0.2856951,0.0002886074,0.0001586446,0.0001605611,0.001130444,0.0002937557,0.009139256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009904262,"threshold_uncertainty_score":0.03313309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07778953216714346,"score_gpt":0.2625919241301702,"score_spread":0.1848023919630268,"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."}}