{"id":"W1979653632","doi":"10.1002/env.924","title":"Analysis of polygonal terrain landforms on Earth and Mars through spatial point patterns","year":2008,"lang":"en","type":"article","venue":"Environmetrics","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Mars Exploration Program; Terrain; Polygon (computer graphics); Landform; Point (geometry); Intersection (aeronautics); Geometry; Context (archaeology); Stochastic geometry; Computer science; Geology; Mathematics; Cartography; Geography; Statistics","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":[0.0002602805,0.0001629174,0.0002003269,0.002990306,0.0002774341,0.0008976699,0.0002669692,0.0001790232,0.001074814],"category_scores_gemma":[0.001576831,0.0001227735,0.0002352643,0.002034362,0.000532857,0.000770113,0.0005329479,0.0001754094,0.0001649754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003114776,"about_ca_system_score_gemma":0.0001557253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039311,"about_ca_topic_score_gemma":0.003705783,"domain_scores_codex":[0.9998003,0.00005160729,0.00000991028,0.00004210092,0.00007382518,0.00002237019],"domain_scores_gemma":[0.9992859,0.0003001274,0.0001643564,0.00007984905,0.0001316822,0.00003813455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003131634,0.00006904279,0.3477685,0.0001810999,0.0002205973,0.0006796908,0.0009488606,0.3011274,0.02191232,0.03402472,0.001448101,0.2913064],"study_design_scores_gemma":[0.000009542451,0.00005153339,0.2747442,0.00002452141,0.0000377358,0.0005135273,0.001092212,0.6957617,0.00429967,0.01970521,0.003722047,0.00003809994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8985225,0.0002219855,0.09710603,0.0001056032,0.000007559921,0.00003129087,0.0005554035,0.0001343081,0.003315367],"genre_scores_gemma":[0.9846588,0.00007239053,0.01476706,0.000005075309,0.000006932595,0.00001207824,0.0001793129,0.000009221769,0.0002890586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004039311,"threshold_uncertainty_score":0.008031607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535047162976785,"score_gpt":0.2036661818223869,"score_spread":0.188315710192619,"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."}}