{"id":"W2590471558","doi":"10.1002/2016jc012128","title":"Impact of the ice strength formulation on the performance of a sea ice thickness distribution model in the <scp>A</scp>rctic","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Sea ice; Geology; Lead (geology); Materials science; Climatology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00182055,0.0007882385,0.0004736726,0.000380562,0.0004484785,0.001229839,0.001012125,0.0009486543,0.0008344337],"category_scores_gemma":[0.00402593,0.0004937855,0.0007132432,0.0003025575,0.0006079264,0.0007126381,0.000750595,0.0008893781,0.0001798039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040272,"about_ca_system_score_gemma":0.00104512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736115,"about_ca_topic_score_gemma":0.01386801,"domain_scores_codex":[0.9995933,0.0001719797,0.00003640113,0.00008870941,0.00005236197,0.00005738554],"domain_scores_gemma":[0.9980754,0.001043607,0.0001760902,0.0002475363,0.0003398613,0.0001175771],"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":[0.0002295187,0.0001019314,0.007049736,0.00003984385,0.00008176377,0.00005616049,0.00002276055,0.982572,0.004824236,0.000360992,0.0002762595,0.004384772],"study_design_scores_gemma":[0.0000616883,0.00008330491,0.001822996,0.00001237849,0.00002597409,0.000009091132,0.00001761416,0.9935042,0.004103235,0.0001050334,0.0002387469,0.00001574525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821723,0.0001180897,0.01296049,0.0002618861,0.0000649622,0.00004760248,0.0005566945,0.0005334361,0.003284426],"genre_scores_gemma":[0.9951551,0.00002557327,0.004209734,0.0000642638,0.000005565406,0.00002207884,0.0001852287,0.00009332012,0.0002391933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736115,"threshold_uncertainty_score":0.05440378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383459151598874,"score_gpt":0.3164097701869196,"score_spread":0.2780638550270322,"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."}}