{"id":"W4311268484","doi":"10.1139/as-2022-0023","title":"The Thores Lake proglacial system: remnant stability in the rapidly changing Canadian High Arctic","year":2022,"lang":"en","type":"article","venue":"Arctic Science","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; University of Ottawa; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet; Canada First Research Excellence Fund; Parks Canada","keywords":"Water column; Phytoplankton; Oceanography; Shelf ice; Arctic; Environmental science; Glacier; Trophic level; Food web; Pelagic zone; Lake ecosystem; Plankton; Geology; Hydrology (agriculture); Physical geography; Ecology; Ecosystem; Arctic ice pack; Nutrient; Geography; Biology; Geomorphology; Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005290716,0.0003759208,0.0003248048,0.002604369,0.002458318,0.001388652,0.0006835662,0.0002810524,0.0009599343],"category_scores_gemma":[0.0007709622,0.0002139618,0.000329218,0.005004851,0.0006549509,0.0004035333,0.001094532,0.0002371686,0.0001940436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01099851,"about_ca_system_score_gemma":0.01224761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872913,"about_ca_topic_score_gemma":0.9961248,"domain_scores_codex":[0.9995412,0.00002087967,0.00003148956,0.00009825065,0.0001352997,0.0001730079],"domain_scores_gemma":[0.9991077,0.0000371509,0.0001412778,0.00004944818,0.0004645047,0.0001999371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146546,0.00002553699,0.9813774,0.00006413274,0.0001035745,0.0002401687,0.002045813,0.0006018163,0.002056463,0.0001539748,0.001360572,0.01185584],"study_design_scores_gemma":[0.000003786964,0.00000680195,0.995038,0.00001429942,0.0000225907,0.00005382744,0.001118176,0.0004625943,0.0001756015,0.00001251947,0.003081832,0.000009974904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885055,0.0003699177,0.0001757162,0.00008534738,0.000004992134,0.00002519819,0.008831955,0.00002731961,0.001974105],"genre_scores_gemma":[0.9873677,0.0002613606,0.0008182551,0.0000473708,0.000005110038,0.00003190669,0.01019819,0.00001452112,0.001255666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270872,"threshold_uncertainty_score":0.07980019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554158213063495,"score_gpt":0.2401111036802155,"score_spread":0.2245695215495805,"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."}}