{"id":"W2128644877","doi":"10.1109/robio.2006.340106","title":"Yet Another Simple Characterization of Searchable Polygons by 1-Searcher","year":2006,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Simon Fraser University","keywords":"Computer science; Polygon (computer graphics); Simple (philosophy); Representation (politics); Characterization (materials science); Boundary (topology); Simple polygon; Theoretical computer science; Information retrieval; Mathematics; Regular polygon","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":[0.000190223,0.00007371247,0.00009525258,0.00006953577,0.00004955841,0.00006533378,0.0004784103,0.00004307137,0.0004477527],"category_scores_gemma":[0.00002012738,0.00006561094,0.00003266368,0.0003311985,0.00007895799,0.0003778015,0.0001270962,0.00005739574,0.0001515534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001945893,"about_ca_system_score_gemma":0.00004011465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106574,"about_ca_topic_score_gemma":0.00004816803,"domain_scores_codex":[0.9990538,0.00004671971,0.0002048249,0.0002039072,0.0002492756,0.0002414185],"domain_scores_gemma":[0.9994252,0.00006258162,0.0000549767,0.000335743,0.00008975759,0.0000317436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003025436,0.0001101988,0.003740451,0.000005593534,0.000004844343,9.878632e-7,0.0002088322,0.00002836649,0.9118965,0.05962529,0.009009744,0.0153662],"study_design_scores_gemma":[0.00003345131,0.00004178118,0.002755448,0.000004332367,9.912801e-7,9.252833e-7,0.0000199359,0.02535763,0.9452304,0.007366661,0.01908017,0.000108325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2276725,0.0000148237,0.7614569,0.001184243,0.00006303209,0.0001216333,0.00001063566,0.0001056248,0.009370612],"genre_scores_gemma":[0.9817027,0.000004787879,0.005164621,0.0002301814,0.00003551381,0.000006773375,0.00001457262,0.00001023944,0.01283055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7562923,"threshold_uncertainty_score":0.4902579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620088592069839,"score_gpt":0.2784004204647433,"score_spread":0.2521995345440449,"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."}}