{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097675,0.0007219116,0.0007222851,0.003104931,0.00186428,0.002036368,0.001779877,0.0004897589,0.009030754],"category_scores_gemma":[0.005600373,0.000291599,0.001381228,0.004059962,0.0004204798,0.001715049,0.00200212,0.0008728519,0.001488201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006890375,"about_ca_system_score_gemma":0.01003088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7947897,"about_ca_topic_score_gemma":0.7863865,"domain_scores_codex":[0.9978113,0.0004649167,0.0001192007,0.0003131094,0.001103786,0.0001877384],"domain_scores_gemma":[0.9976622,0.0003158172,0.00009193479,0.0002316901,0.001606693,0.00009173528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005171373,0.0002327904,0.06423274,0.0003599999,0.0003209053,0.0004572177,0.001802131,0.1860766,0.005717846,0.07957608,0.02827105,0.6324355],"study_design_scores_gemma":[0.00008211731,0.0001227968,0.05704504,0.00008235361,0.0002604963,0.0001876061,0.001004077,0.7976333,0.002583447,0.01197745,0.1288366,0.0001845245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1300557,0.0008087052,0.7349564,0.001763841,0.0003594232,0.001154566,0.007764047,0.005491768,0.1176455],"genre_scores_gemma":[0.4022511,0.000591861,0.5640987,0.0002950461,0.0001200401,0.0005754285,0.006964141,0.000903621,0.02420004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2052103,"threshold_uncertainty_score":0.4128376,"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."}}