{"id":"W2165542100","doi":"10.1142/s021819590900299x","title":"DETERMINING A SET OF MAXIMUM INSCRIBED RECTANGLES FOR LABEL PLACEMENT IN A REGION","year":2009,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inscribed figure; Polygon (computer graphics); Set (abstract data type); Regular polygon; Convex polygon; Combinatorics; Orientation (vector space); Mathematics; Computer science; Algorithm; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119419,0.001086038,0.00139609,0.001625263,0.001138142,0.001953125,0.002295284,0.001384216,0.00604545],"category_scores_gemma":[0.006044221,0.0009642338,0.001093701,0.001711888,0.000779072,0.002059069,0.001886838,0.001022626,0.00275539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007115667,"about_ca_system_score_gemma":0.001656846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181795,"about_ca_topic_score_gemma":0.003737199,"domain_scores_codex":[0.9985562,0.0002469786,0.00008964154,0.0004291105,0.0004760147,0.0002020215],"domain_scores_gemma":[0.9975002,0.001151627,0.0004260217,0.0003599846,0.0004145004,0.000147592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009938976,0.0005714354,0.01099843,0.001108886,0.0001044504,0.0008488193,0.001813782,0.2271149,0.1088391,0.02856412,0.01551995,0.6035223],"study_design_scores_gemma":[0.0001291638,0.0003089721,0.002209075,0.0000739945,0.00003808972,0.0004525491,0.001268612,0.9032255,0.06368373,0.01784715,0.01068742,0.00007579375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0613844,0.0001641192,0.9310852,0.000225548,0.00002444081,0.0003056292,0.0006545399,0.002865974,0.003290265],"genre_scores_gemma":[0.09615434,0.00009448075,0.901204,0.00003691394,0.00001085203,0.0001684796,0.001093852,0.0003160336,0.0009209925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00604545,"threshold_uncertainty_score":0.02022409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410628161139626,"score_gpt":0.3253124541080849,"score_spread":0.2912061724966887,"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."}}