{"id":"W6950767378","doi":"10.5443/11796","title":"RADARSAT derived monthly ice motion estimates for the Beaufort Sea, 1997-2014","year":2017,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Feature tracking; Beaufort sea; Tracking (education); Feature (linguistics); Arctic ice pack; Pixel; Motion (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002438077,0.001171018,0.001067678,0.0003399117,0.003534286,0.001346986,0.01079874,0.001013432,0.0004035854],"category_scores_gemma":[0.001646776,0.001053302,0.0002457237,0.0003155587,0.0005814875,0.00104332,0.001071298,0.001312518,0.004274976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061342,"about_ca_system_score_gemma":0.003293784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7475526,"about_ca_topic_score_gemma":0.9774744,"domain_scores_codex":[0.9939296,0.0002182036,0.0007505236,0.001836565,0.0006545537,0.002610568],"domain_scores_gemma":[0.9828622,0.0008599457,0.001051015,0.01343189,0.0002084509,0.001586435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005205596,0.00001575489,0.0003683023,0.0001204433,0.000689828,0.00008433828,0.000009292755,0.0005011418,6.186946e-7,0.00001367494,0.9965158,0.001628792],"study_design_scores_gemma":[0.0005268513,0.00003954195,0.001454549,0.0002850514,0.001872385,0.00003344309,0.00001148059,0.008185751,0.000001266068,0.0001614647,0.9863216,0.001106656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003149418,0.01619672,0.0003206834,0.0007259921,0.003349049,0.002715667,0.9765282,0.0001128647,0.00004762183],"genre_scores_gemma":[0.00004791284,0.000414172,0.002651523,0.001250972,0.005975663,0.0001102927,0.9890387,0.0004053067,0.0001054363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2299218,"threshold_uncertainty_score":0.9996897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796528298166392,"score_gpt":0.2871651662100999,"score_spread":0.2491998832284359,"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."}}