{"id":"W2293120735","doi":"","title":"Canadian Ice Regime System: Improvements Using an Interaction Approach","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Numeral system; The arctic; Work (physics); Range (aeronautics); Arctic; Meteorology; Computer science; Environmental science; Climatology; Geology; Engineering; Geography; Oceanography; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001733909,0.00009644347,0.0000955031,0.00008232475,0.0002545695,0.00006081117,0.000145055,0.00005483473,0.00086811],"category_scores_gemma":[0.000007766289,0.00008622539,0.00002637319,0.0001368868,0.00002468936,0.0003862175,0.000005109247,0.0001190024,0.00008855114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006388981,"about_ca_system_score_gemma":0.0001146539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3628148,"about_ca_topic_score_gemma":0.1020446,"domain_scores_codex":[0.9991528,0.00004431678,0.0001330467,0.0002033935,0.0001489497,0.0003174868],"domain_scores_gemma":[0.9994815,0.0000150494,0.00005437131,0.0001655563,0.00003000804,0.0002534876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001159181,0.00009066295,0.8574504,0.0001503634,0.00008633286,0.0001663818,0.001702541,0.009662131,0.0009400903,0.001646798,0.0004033383,0.1275851],"study_design_scores_gemma":[0.0002062104,0.00008810535,0.03116731,0.00003017608,0.00003164299,0.0002965898,0.005548478,0.9594742,0.000009292517,0.0003325712,0.002589104,0.0002262805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501945,0.000005626471,0.003120443,0.00008958788,0.0004012898,0.0001250593,0.00002184891,0.00003968657,0.146002],"genre_scores_gemma":[0.9950175,0.000005946348,0.004085462,0.0002373045,0.000168771,5.491111e-7,0.0001324944,0.000004225735,0.000347767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498121,"threshold_uncertainty_score":0.9505196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192649451063974,"score_gpt":0.2230396617491411,"score_spread":0.2011131672385014,"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."}}