{"id":"W2256740009","doi":"","title":"Data Collection Program on Ice Regimes.","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Arctic ice pack; Coast guard; Ice formation; Sea ice; Ice field; Environmental science; Meteorology; Climatology; Physical geography; Geology; Geography; Atmospheric sciences; Glacier; Environmental protection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004230079,0.001127083,0.0009539129,0.008567167,0.003121014,0.001089965,0.002047882,0.0004844123,0.03600552],"category_scores_gemma":[0.006402927,0.0008406394,0.0006644324,0.008174512,0.000632578,0.0008613593,0.002181345,0.001433632,0.01321589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009041643,"about_ca_system_score_gemma":0.03446687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6790123,"about_ca_topic_score_gemma":0.8256215,"domain_scores_codex":[0.9976456,0.0002382333,0.0002870235,0.000432852,0.001046064,0.0003503195],"domain_scores_gemma":[0.9797184,0.0008522511,0.001315077,0.001521118,0.01487886,0.001714198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009855566,0.00086964,0.09721123,0.002012275,0.0001080569,0.0003208488,0.004082589,0.001869118,0.006889599,0.003423778,0.5837066,0.2985207],"study_design_scores_gemma":[0.0003057375,0.0002331086,0.3431808,0.0004964243,0.00006442407,0.00006553841,0.002093501,0.001470377,0.003720502,0.0005859991,0.6476641,0.0001194595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02362093,0.0002926577,0.01115734,0.0004487916,0.0002139391,0.03175763,0.8726942,0.002059179,0.05775532],"genre_scores_gemma":[0.05192774,0.0008172916,0.1123067,0.0006954104,0.0001838863,0.1051266,0.6755027,0.0008409676,0.05259874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6790123,"threshold_uncertainty_score":0.6457561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783853217762269,"score_gpt":0.2483851991438573,"score_spread":0.2205466669662346,"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."}}