{"id":"W2001208093","doi":"10.1016/j.coldregions.2007.02.008","title":"Physical characterization of air inclusions in river ice","year":2007,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; University of Alberta; Institut National de la Recherche Scientifique","funders":"University of Alberta","keywords":"Characterization (materials science); Geology; Environmental science; Meteorology; Geography; Materials science","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":[0.000337939,0.00005382911,0.00009663036,0.0004221051,0.0002103843,0.000004424705,0.0002102678,0.00005938863,0.000008755954],"category_scores_gemma":[0.00008490925,0.00004428556,0.00000969633,0.001739406,0.001847219,0.0001867593,0.00005426804,0.0001072468,0.000006355737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007656696,"about_ca_system_score_gemma":0.0000960242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001416611,"about_ca_topic_score_gemma":0.0003729303,"domain_scores_codex":[0.9993283,0.00000612637,0.0001122779,0.0001734447,0.0001586445,0.0002212024],"domain_scores_gemma":[0.9996377,0.00005093233,0.00005352422,0.0001292733,0.00008214556,0.00004645462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001606561,0.00009684847,0.7643198,0.00001454588,0.000003340394,0.00002736183,0.00127108,0.00001616387,0.08251908,0.08066737,0.00001083943,0.0710375],"study_design_scores_gemma":[0.0002139483,0.0001438483,0.9752994,0.00003107551,0.000006812956,0.00003505261,0.0009114235,0.00915536,0.004845538,0.007520133,0.001706304,0.0001310578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964959,0.000008953082,0.0008329425,0.001494067,0.00005950254,0.00008459933,0.000004743902,0.00002472706,0.0009945458],"genre_scores_gemma":[0.9993877,0.00004495897,0.0003956036,0.0001063006,0.00001387416,4.102845e-7,0.000003651149,9.3403e-7,0.0000465276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2109796,"threshold_uncertainty_score":0.6806154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006645864633547065,"score_gpt":0.2161852930754914,"score_spread":0.2095394284419443,"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."}}