{"id":"W2013714474","doi":"10.1002/ppp.475","title":"A field perspective on modelling ‘single‐ridge’ ice‐wedge polygons","year":2004,"lang":"en","type":"article","venue":"Permafrost and Periglacial Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ice wedge; Geology; Permafrost; Wedge (geometry); Ridge; Polygon (computer graphics); Field (mathematics); Stress field; Geomorphology; Geophysics; Petrology; Geometry; Paleontology; Finite element method","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":[0.000737033,0.0006130335,0.0005849152,0.0008021161,0.0004956805,0.002039344,0.002234376,0.00125297,0.003859226],"category_scores_gemma":[0.001769013,0.0006233568,0.0009386359,0.0008246743,0.002299297,0.003544278,0.001010685,0.001113856,0.0002777319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656076,"about_ca_system_score_gemma":0.0006413063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647403,"about_ca_topic_score_gemma":0.009911919,"domain_scores_codex":[0.9997656,0.00009458478,0.00001207551,0.00006180712,0.00004096363,0.00002499795],"domain_scores_gemma":[0.9986726,0.0008823475,0.0001002552,0.0001360075,0.0001320513,0.00007679187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002139613,0.00003565285,0.001273859,0.00003397424,0.00001133062,0.00009037035,0.0001027025,0.9532078,0.000595184,0.03877961,0.0003676147,0.005480547],"study_design_scores_gemma":[0.000007286506,0.00001879785,0.0001684769,0.00001662411,0.000004241132,0.00001858823,0.00006124048,0.9772866,0.0003096571,0.0197909,0.002311058,0.000006403051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1672379,0.000740708,0.7941626,0.001530694,0.0001229181,0.0001483721,0.0005753034,0.000612941,0.03486845],"genre_scores_gemma":[0.8538123,0.0008162713,0.1398165,0.0001578091,0.00008158258,0.0001388263,0.0002942969,0.0001402895,0.004742141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647403,"threshold_uncertainty_score":0.03275627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049551104432889,"score_gpt":0.2440462762256549,"score_spread":0.213550765181326,"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."}}