{"id":"W6963781371","doi":"10.18739/a2c824f9x","title":"The fractional land cover estimates from the Boreal-Arctic Wetland and Lake Dataset (BAWLD), 2021.","year":2021,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; University of Toronto; Dalhousie University; University of Waterloo; Université de Montréal; University of Alberta","funders":"","keywords":"Tundra; Permafrost; Wetland; Taiga; Land cover; Grid cell; Boreal; Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008789264,0.000935071,0.0008090988,0.000102163,0.001138836,0.00147868,0.001433471,0.0005212553,0.009211347],"category_scores_gemma":[0.001444578,0.000555269,0.000163502,0.0004112194,0.0007329089,0.0003850633,0.001048308,0.001721726,0.007681784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294388,"about_ca_system_score_gemma":0.0004867015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01008626,"about_ca_topic_score_gemma":0.03802694,"domain_scores_codex":[0.9953783,0.0005371919,0.0006983334,0.001287374,0.001260488,0.0008383188],"domain_scores_gemma":[0.9901019,0.006019134,0.0005347759,0.002900159,0.0001640589,0.000280013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002272315,0.0001044242,0.008100487,0.000055101,0.0007190112,0.0002548547,0.00002622818,0.00001754277,0.00001935146,0.000004176844,0.9903379,0.0001337038],"study_design_scores_gemma":[0.0009439012,0.00003588885,0.03323824,0.0002439466,0.001006134,0.0002099911,0.00007797629,0.0002118806,0.00001033409,0.0002537804,0.9630895,0.0006784713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005639914,0.01005687,0.000003811378,0.0008289519,0.001038115,0.0005553604,0.9868297,0.00004748475,0.00007569571],"genre_scores_gemma":[0.0002313451,0.006620459,0.00005465517,0.0008445593,0.001768935,0.0001184959,0.9901487,0.000143186,0.00006967011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02794068,"threshold_uncertainty_score":0.9996899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419911352690031,"score_gpt":0.2728512956576049,"score_spread":0.2586521821307046,"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."}}