{"id":"W2791924952","doi":"10.5194/tc-12-3577-2018","title":"What historical landfast ice observations tell us about projected ice conditions in Arctic archipelagoes and marginal seas under anthropogenic forcing","year":2018,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sea ice; Arctic ice pack; Archipelago; Geology; Ice shelf; Antarctic sea ice; Drift ice; Climatology; Arctic; Fast ice; Forcing (mathematics); Oceanography; Cryosphere","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":[0.0004426622,0.0001598662,0.0001087155,0.0004820769,0.0002399386,0.0008543122,0.0002521819,0.0003478263,0.0009311842],"category_scores_gemma":[0.001827913,0.0001561836,0.0002550089,0.0007106281,0.0002830982,0.0006548089,0.0001785738,0.0002317898,0.0001629909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062967,"about_ca_system_score_gemma":0.000480654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1546808,"about_ca_topic_score_gemma":0.2522286,"domain_scores_codex":[0.9999332,0.00001313848,0.000003807315,0.00002206385,0.00001143599,0.00001628266],"domain_scores_gemma":[0.9993951,0.0001519478,0.0001486305,0.00005648063,0.0001551316,0.00009259902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003818594,0.000008191201,0.9919569,0.00001476909,0.00006840836,0.00003695715,0.0001113837,0.004706695,0.0003494679,0.0001263983,0.000235332,0.002347265],"study_design_scores_gemma":[0.000001920092,0.000009462584,0.9941519,0.00001148063,0.00001751969,0.00001870641,0.0003079652,0.004692255,0.0001643985,0.0001072324,0.0005102788,0.000006787932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971157,0.0001578353,0.0001495504,0.00009364256,0.000004549687,0.000001360497,0.00174549,0.000009360331,0.0007224059],"genre_scores_gemma":[0.9985471,0.0001290531,0.00008512913,0.0000125421,0.000003420788,0.00000129488,0.001118283,0.000002340639,0.0001007302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546808,"threshold_uncertainty_score":0.3075609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047290180630986,"score_gpt":0.2351721239036552,"score_spread":0.2146992220973453,"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."}}