{"id":"W7132950545","doi":"","title":"Lake Ice in Canada: Improving one-dimensional lake ice modelling and investigating changing ice cover and trends","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto Mississauga; Environment and Climate Change Canada; University of Toronto","keywords":"Shortwave radiation; Cryosphere; Sea ice; Albedo (alchemy); Snow; Arctic ice pack; Arctic; Earth's energy budget; Ice-albedo feedback; Permafrost","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003031112,0.0006206394,0.0002966846,0.0005048453,0.0008279718,0.0009659017,0.0008250496,0.0003748167,0.0007752395],"category_scores_gemma":[0.001030807,0.0002861515,0.0004155678,0.0008591368,0.0002425337,0.0004536076,0.0004477898,0.0003282192,0.000083481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005765183,"about_ca_system_score_gemma":0.009139091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623641,"about_ca_topic_score_gemma":0.9592667,"domain_scores_codex":[0.9998801,0.00001490444,0.000007322875,0.00003114171,0.00003273342,0.0000337857],"domain_scores_gemma":[0.9997171,0.00005045007,0.00002814114,0.00001589204,0.0001492198,0.00003924412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001410148,0.00008684652,0.08170016,0.0001003796,0.0000928339,0.0001049231,0.0002245395,0.8822528,0.004225346,0.0007875838,0.001314262,0.02896937],"study_design_scores_gemma":[0.00003379134,0.00002066597,0.03339268,0.00001477344,0.00003862465,0.00001040203,0.0001134256,0.9628629,0.001512182,0.0001205668,0.00185552,0.00002447712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839808,0.0002653689,0.008264005,0.0002649375,0.00002106568,0.00008882389,0.002295614,0.0004694385,0.004349875],"genre_scores_gemma":[0.9816172,0.0002527524,0.01503273,0.00003438958,0.000005679427,0.00003873618,0.001522453,0.00006243097,0.001433568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03763592,"threshold_uncertainty_score":0.07571507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752165949949606,"score_gpt":0.233680451069851,"score_spread":0.2161587915703549,"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."}}