{"id":"W4281643011","doi":"10.5194/tc-16-2103-2022","title":"Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems","year":2022,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Norges Forskningsråd","keywords":"Environmental science; Sea ice; Lead (geology); Trajectory; Meteorology; Geology; Climatology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245892,0.0001517888,0.0001634402,0.00001903743,0.001013868,0.00005651785,0.0004398844,0.00004272704,0.000736114],"category_scores_gemma":[0.000005495429,0.0001007075,0.00006415952,0.0003610887,0.00009261646,0.0001991419,0.00001941379,0.000502198,0.00001430303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003484802,"about_ca_system_score_gemma":0.00009940651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121022,"about_ca_topic_score_gemma":0.006628692,"domain_scores_codex":[0.9982811,0.0002784142,0.0003029574,0.0002465169,0.0005425183,0.0003484892],"domain_scores_gemma":[0.9993836,0.0001704892,0.0001306316,0.0002445632,0.0000197486,0.00005101411],"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":[0.00006325046,0.00003662379,0.3616589,0.00006216266,0.00002525573,0.00006626351,0.005737374,0.625901,0.000003152577,0.00009023217,0.0001477619,0.006208025],"study_design_scores_gemma":[0.0002214674,0.00007711981,0.1235425,0.00002893234,0.00004558996,0.0002242693,0.01158369,0.8615733,9.198273e-8,0.0001438201,0.002435991,0.0001232502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985159,0.0002169159,0.01113226,0.0002423245,0.0007772284,0.0003754887,0.0001465777,0.00004787791,0.001902378],"genre_scores_gemma":[0.9978801,0.000005357567,0.001290389,0.0002605614,0.0002296549,0.000003975034,0.0001111822,0.000007181463,0.0002115782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2381164,"threshold_uncertainty_score":0.9853076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438592721328215,"score_gpt":0.2057134652832471,"score_spread":0.191327538069965,"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."}}