{"id":"W2135938352","doi":"10.5194/tc-10-1125-2016","title":"Imaging air volume fraction in sea ice using non-destructive X-ray tomography","year":2016,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Calgary; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Fonds De La Recherche Scientifique - FNRS; ArcticNet; University of Manitoba","keywords":"Tomography; Volume (thermodynamics); Geology; Environmental science; Physics; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002518921,0.000167407,0.0001587405,0.00003973567,0.0002591282,0.00003635824,0.0002350212,0.00006357364,0.001346279],"category_scores_gemma":[0.00001432816,0.0001013673,0.00008139823,0.0003479512,0.000187684,0.0005099682,0.00002034284,0.0002027016,0.000210776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002732561,"about_ca_system_score_gemma":0.00006808972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113114,"about_ca_topic_score_gemma":0.006202857,"domain_scores_codex":[0.998795,0.00008038442,0.0002077248,0.0002876793,0.0002305701,0.0003986411],"domain_scores_gemma":[0.999361,0.0001611183,0.0001127143,0.0002345692,0.00004624864,0.00008433034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003310518,0.00001027784,0.9541923,0.00000792734,0.00001392934,0.00001645281,0.0002150689,0.001382901,0.0001026482,0.0000132275,0.000127197,0.04388496],"study_design_scores_gemma":[0.0003081472,0.00003052493,0.9325197,0.0000707921,0.00002227729,0.00003111329,0.0011839,0.061274,0.000008571856,0.001836899,0.002506061,0.0002080315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808908,0.000111598,0.01442662,0.0005783419,0.0004576023,0.0001765003,0.00003564418,0.00003522187,0.003287734],"genre_scores_gemma":[0.9974315,0.00002725916,0.001615653,0.0003543663,0.0001847908,0.000001266056,0.00001043667,0.000008334246,0.0003663521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0598911,"threshold_uncertainty_score":0.9995666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006022985104924166,"score_gpt":0.2000514296831259,"score_spread":0.1940284445782017,"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."}}