{"id":"W4417457085","doi":"10.1080/07055900.2025.2587932","title":"Lake Ice and Climate Perturbation: Numerical Experiments on a Small Boreal Lake","year":2025,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"Fisheries and Oceans Canada","keywords":"Shelf ice; Cryosphere; Sea ice; Climate change; Arctic ice pack; Boreal; Antarctic sea ice; Melt pond","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001356252,0.000185778,0.0001935237,0.000006516842,0.0002747962,0.00007643461,0.0001639881,0.00008557224,0.001169096],"category_scores_gemma":[0.00003473685,0.0001523163,0.00005188262,0.0001785422,0.00009416465,0.0001120818,0.00003107519,0.0001671826,0.00009290527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005893176,"about_ca_system_score_gemma":0.0000430876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002659687,"about_ca_topic_score_gemma":0.001445943,"domain_scores_codex":[0.9988655,0.00005287986,0.0002091937,0.0003402665,0.0001740402,0.0003580848],"domain_scores_gemma":[0.9994106,0.0001734056,0.00005908743,0.0002001721,0.00002957089,0.0001271919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001250917,0.00004686368,0.9699246,0.0000295504,0.00003822704,0.00002425117,0.0004004988,0.0003030162,4.85867e-7,0.002052573,0.001434245,0.02562057],"study_design_scores_gemma":[0.001018962,0.0003833679,0.8564464,0.0001026951,0.0000612838,0.00002395012,0.001585584,0.05700057,0.00001348227,0.00110299,0.0818352,0.0004254716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828532,0.0001936805,0.0004064693,0.0008974558,0.0004131,0.0001890665,0.00009278891,0.00009457088,0.1148597],"genre_scores_gemma":[0.9928234,0.0001356428,0.002006809,0.002334063,0.00009033212,6.612071e-7,0.0002021094,0.000005980771,0.002401034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134782,"threshold_uncertainty_score":0.999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695224879159933,"score_gpt":0.2216965940582524,"score_spread":0.2120013691790924,"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."}}