{"id":"W4411550410","doi":"10.1139/as-2023-0069","title":"Long-term field tracking of icebergs in the eastern Canadian Arctic","year":2025,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Environment and Climate Change Canada; Carleton University; University of Waterloo; University of Ottawa","funders":"","keywords":"Iceberg; Term (time); Arctic; Field (mathematics); Tracking (education); Geography; The arctic; Oceanography; Environmental science; Geology; Meteorology; Sea ice; Physics; Mathematics; Astronomy; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006683058,0.0002953987,0.0002839307,0.001618141,0.001334915,0.0008706254,0.0007462408,0.0002171805,0.0006549675],"category_scores_gemma":[0.001752769,0.000165549,0.0001959137,0.002513013,0.0003321793,0.0003655071,0.00042488,0.00023909,0.0001578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008468218,"about_ca_system_score_gemma":0.009814315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815603,"about_ca_topic_score_gemma":0.994443,"domain_scores_codex":[0.9996672,0.00002429411,0.00001534986,0.00008719325,0.0001146615,0.00009132468],"domain_scores_gemma":[0.9982933,0.0001052104,0.0001864943,0.00007023863,0.001164458,0.0001802114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009578939,0.00005575077,0.9677945,0.0000529801,0.0001157042,0.00006454615,0.0006759912,0.003853374,0.002625622,0.0001868832,0.003356406,0.0211224],"study_design_scores_gemma":[0.000004356759,0.000009516291,0.9931101,0.00001844568,0.00001806729,0.00001282199,0.0004000653,0.004280095,0.0002831539,0.00002622145,0.001826484,0.00001075472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903187,0.0002779746,0.0005475276,0.00008084317,0.00001194953,0.00002845493,0.006413495,0.00004178857,0.002279382],"genre_scores_gemma":[0.9914375,0.0002227382,0.001205651,0.00003620471,0.00000488239,0.00002255922,0.006110603,0.00001009575,0.0009498466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01843965,"threshold_uncertainty_score":0.06144154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053526872414963,"score_gpt":0.2749059724204506,"score_spread":0.234370703696301,"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."}}