{"id":"W4205126201","doi":"10.5194/tc-2021-143-supplement","title":"Supplementary material to \"Dam type and topological position govern ice-marginal lake area change in Alaska and NW Canada between 1984 and 2019\"","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Geography; Geology; Economics","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000641351,0.001050554,0.0008669193,0.002394916,0.001278126,0.001580024,0.001435415,0.000601491,0.7854913],"category_scores_gemma":[0.005877719,0.0006640457,0.0009093328,0.004793765,0.0002894535,0.00107843,0.00117805,0.0006712071,0.1841155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577903,"about_ca_system_score_gemma":0.002620914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1308896,"about_ca_topic_score_gemma":0.2148524,"domain_scores_codex":[0.9996258,0.00002550756,0.00002801113,0.0001120129,0.0001115625,0.0000971409],"domain_scores_gemma":[0.9966853,0.001216686,0.0002305879,0.0003627639,0.001205174,0.0002994911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006140929,0.00004074851,0.001969659,0.0003153899,0.00003334896,0.00003722975,0.0000577629,0.0006073453,0.0002400481,0.0007569849,0.9914424,0.004437693],"study_design_scores_gemma":[0.0005710442,0.00006946719,0.0918128,0.0006114664,0.0001067632,0.0003310799,0.0006419204,0.00345034,0.001168505,0.007408169,0.8937297,0.00009875557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007138201,0.00003036184,0.0005505739,0.00009603658,0.0002272144,0.00001876483,0.9941215,0.0005642499,0.003677528],"genre_scores_gemma":[0.008621894,0.0001036758,0.003344433,0.0001031788,0.000121951,0.0001200233,0.9744009,0.001323902,0.01186001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8691103,"threshold_uncertainty_score":0.3059705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434619570407715,"score_gpt":0.253377807732172,"score_spread":0.2099158506914005,"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."}}