{"id":"W4402572631","doi":"10.1016/j.coldregions.2024.104325","title":"Evaluating the importance of footloose-type failure in ice island deterioration modeling","year":2024,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Environment and Climate Change Canada; Leverhulme Trust; Polar Knowledge Canada; National Science Foundation","keywords":"Ice caps; Geology; Environmental science; Forensic engineering; Engineering; Geomorphology; Glacier","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001559102,0.0008316883,0.0005592742,0.0006923397,0.0004943734,0.00105728,0.00153133,0.00146163,0.0007660949],"category_scores_gemma":[0.005042803,0.0004504367,0.0007896485,0.00039568,0.0008208377,0.0007361753,0.0007829626,0.0008922418,0.00008966531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574961,"about_ca_system_score_gemma":0.001619401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1663567,"about_ca_topic_score_gemma":0.09395177,"domain_scores_codex":[0.999644,0.0001049258,0.00002108638,0.0000845113,0.0000562044,0.00008920734],"domain_scores_gemma":[0.9976305,0.001575223,0.0002146177,0.0001341301,0.000236307,0.0002091742],"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":[0.00003047066,0.00002733952,0.007349566,0.000008985917,0.00001701593,0.00002010769,0.00001195053,0.9910691,0.0002488251,0.0001293362,0.00006976879,0.001017591],"study_design_scores_gemma":[0.000003678505,0.00001437362,0.001059585,0.000002389698,0.000004257986,0.000003501669,0.00001208321,0.9986565,0.0001419995,0.00005674257,0.00004230977,0.000002535557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804435,0.0002203994,0.01631585,0.0002361108,0.00003482037,0.00005712612,0.0007165737,0.000265582,0.0017101],"genre_scores_gemma":[0.9940819,0.00004946762,0.005161883,0.00004558305,0.000007898569,0.00001590836,0.0003697564,0.00002219929,0.0002453529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1663567,"threshold_uncertainty_score":0.3307767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05546728877075512,"score_gpt":0.2975464132766282,"score_spread":0.2420791245058731,"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."}}