{"id":"W6958758633","doi":"10.6073/pasta/14b575b6e81583461e52dd8cbcc27af1","title":"McMurdo Dry Valleys LTER - Landscape Albedo - Taylor Valley, Antarctica - 2015 to 2019","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Snow; Albedo (alchemy); Table (database); Radiometer; Reflectivity; Aerial survey","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":[],"consensus_categories":[],"category_scores_codex":[0.0002332517,0.0005112474,0.0002595989,0.001150106,0.0005088695,0.0007213194,0.0004833966,0.0002024473,0.01968872],"category_scores_gemma":[0.0005467672,0.0001576376,0.0003295534,0.002010278,0.0001083865,0.0003714619,0.0005495664,0.0003176535,0.009314253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117687,"about_ca_system_score_gemma":0.001214539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3012413,"about_ca_topic_score_gemma":0.4951823,"domain_scores_codex":[0.9998622,0.000009784178,0.000007767763,0.00003339735,0.00005536031,0.00003149294],"domain_scores_gemma":[0.9995708,0.00001314314,0.0000588994,0.00006082288,0.0002108593,0.00008542673],"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":[0.0004270713,0.00004902618,0.1221118,0.0003332604,0.00014676,0.0001261414,0.0002939332,0.001789174,0.001016806,0.0006823051,0.837274,0.03574974],"study_design_scores_gemma":[0.00009582104,0.00002969221,0.4962399,0.0001525534,0.00002932144,0.00004921238,0.0004697885,0.001288935,0.0007453229,0.0001989034,0.5006762,0.00002439468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02640968,0.0001654448,0.0002152125,0.0001406606,0.00008513698,0.00004701558,0.9627562,0.0004773245,0.009703357],"genre_scores_gemma":[0.06054909,0.000260532,0.002047309,0.0002011596,0.00005790988,0.0002254841,0.9203244,0.0002637089,0.01607035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3012413,"threshold_uncertainty_score":0.5989758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698271176228002,"score_gpt":0.3034111820366121,"score_spread":0.2564284702743321,"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."}}