{"id":"W2964178647","doi":"10.20382/jocg.v7i2a8","title":"$1$-string $B_2$-VPG representation of planar graphs","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; Planar; Planar graph; String (physics); Enhanced Data Rates for GSM Evolution; Graph; Representation (politics); Grid; Geometry; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003670637,0.0001413737,0.0002948705,0.001978623,0.0001086349,0.00004272581,0.0006823573,0.00007112702,0.00003553852],"category_scores_gemma":[0.0001491445,0.0001213068,0.0002396244,0.002477562,0.00007316462,0.001330736,0.0001003944,0.0001196521,0.000008917067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244738,"about_ca_system_score_gemma":0.0002698093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006462242,"about_ca_topic_score_gemma":0.000001240534,"domain_scores_codex":[0.9981375,0.0001451026,0.0005313532,0.0002347082,0.0007721624,0.0001791657],"domain_scores_gemma":[0.9971299,0.0007080552,0.0008030337,0.000192867,0.001019963,0.0001462103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002598588,0.0003062017,0.009236641,0.0000435363,0.0003847556,0.0002096974,0.0003101763,0.1452587,0.01162009,0.7345154,0.002991404,0.09486351],"study_design_scores_gemma":[0.01889512,0.003411283,0.2783292,0.001054777,0.000407382,0.001745813,0.0008341664,0.03162375,0.06105848,0.5368477,0.06363776,0.002154604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2756798,0.00006783981,0.7224192,0.0007883545,0.0003776499,0.00006012265,0.000008315471,0.00002176776,0.0005769333],"genre_scores_gemma":[0.9363845,0.00005744989,0.06290654,0.00007496798,0.0001082985,1.205603e-7,0.000005757868,0.000006707693,0.0004556846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6607047,"threshold_uncertainty_score":0.494675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587533525732869,"score_gpt":0.223455103272841,"score_spread":0.2075797680155123,"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."}}