{"id":"W3136327142","doi":"10.31857/s2076673421010071","title":"РЕКОНСТРУКЦИЯ БАЛАНСА МАССЫ ЛЕДНИКА САРЫ-ТОР ПО МЕТЕОРОЛОГИЧЕСКИМ ДАННЫМ","year":2021,"lang":"ru","type":"article","venue":"Journal Ice and Snow","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0008086436,0.0003454959,0.0002791194,0.001614235,0.001005996,0.002292569,0.0003970664,0.0005012591,0.01372793],"category_scores_gemma":[0.001478892,0.0003769369,0.00030779,0.002045877,0.001190543,0.001061605,0.0008458534,0.001135345,0.006491636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175338,"about_ca_system_score_gemma":0.001856826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008183458,"about_ca_topic_score_gemma":0.01074861,"domain_scores_codex":[0.9991347,0.00007458605,0.00004403697,0.0002013174,0.0004644349,0.00008092642],"domain_scores_gemma":[0.9993266,0.0001024329,0.000120377,0.0001280491,0.00026607,0.00005656968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001836572,0.00006936524,0.008614478,0.0004215531,0.00004873785,0.0007949209,0.001783342,0.003639378,0.04116711,0.2194146,0.009860308,0.7140026],"study_design_scores_gemma":[0.00003953953,0.0001551,0.03431519,0.0002206958,0.00007715499,0.001378014,0.0008593842,0.004306441,0.02050108,0.04507784,0.892959,0.0001104655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2408034,0.0336817,0.1948418,0.00376514,0.001840418,0.0003313275,0.003044166,0.001300399,0.5203918],"genre_scores_gemma":[0.8081705,0.01550701,0.09175217,0.000154067,0.0004841292,0.0002888401,0.0008922681,0.0003471801,0.08240382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01372793,"threshold_uncertainty_score":0.04592448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786565777962046,"score_gpt":0.2318173710035105,"score_spread":0.20395171322389,"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."}}