{"id":"W4415285659","doi":"10.22541/essoar.176072355.56057855/v1","title":"Physical Modeling of Coastal Permafrost Erosion: A New Model for Predicting Niche Depth Evolution","year":2025,"lang":"","type":"article","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; GDG Environnement; Fisheries and Oceans Canada; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Climate change; Arctic; Erosion; Coastal erosion; Ectotherm; Global warming","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":[0.0001897029,0.0004898887,0.0004618008,0.0002854877,0.0003141656,0.0007300656,0.0009475464,0.0009966162,0.0008804045],"category_scores_gemma":[0.0005852261,0.000295688,0.0006817703,0.0003215861,0.0004356102,0.0007699805,0.0005020019,0.0007789347,0.0001643797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004926637,"about_ca_system_score_gemma":0.000680529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008747802,"about_ca_topic_score_gemma":0.005182827,"domain_scores_codex":[0.9999338,0.00001166007,0.000005022698,0.00002032736,0.00001822121,0.0000108756],"domain_scores_gemma":[0.999859,0.00005297322,0.00003057073,0.0000170203,0.00002420452,0.0000163224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001048654,0.00002185399,0.001415797,0.00001829921,0.00001444872,0.00003499178,0.00001628733,0.9905469,0.002388433,0.001915917,0.0001197677,0.003496796],"study_design_scores_gemma":[0.000001260108,0.000003288202,0.0001751037,0.000001011094,0.000001574976,0.000003939406,0.000002042164,0.9993044,0.00009108875,0.000297984,0.0001167587,0.000001535053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3572839,0.001011137,0.6288189,0.0005244864,0.0001033608,0.00008791366,0.0005628613,0.000356808,0.01125061],"genre_scores_gemma":[0.9641656,0.0005865315,0.03101008,0.00006210248,0.0000544244,0.0001468492,0.0002332963,0.00006595541,0.003675126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008747802,"threshold_uncertainty_score":0.01739377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038512776359501,"score_gpt":0.2922807927133128,"score_spread":0.2518956649497177,"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."}}