{"id":"W3211061460","doi":"10.5260/chara.23.2.5","title":"Arctic Science and Technology Information System","year":2021,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; The arctic; Variety (cybernetics); Database; Subject (documents); Online database; Subject access; Library science; Geography; Computer science; World Wide Web; Oceanography; Geology","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":[0.003627448,0.0008992459,0.001469519,0.01828157,0.002858126,0.008241705,0.00171743,0.001126244,0.1453287],"category_scores_gemma":[0.01553577,0.0004387619,0.0004726872,0.0401627,0.0004072059,0.003544036,0.002268109,0.001055927,0.1404857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006934671,"about_ca_system_score_gemma":0.03324116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2473189,"about_ca_topic_score_gemma":0.1648909,"domain_scores_codex":[0.9969222,0.0003029013,0.0006437057,0.000301032,0.001549743,0.0002805373],"domain_scores_gemma":[0.9847391,0.001588459,0.0008828578,0.001751468,0.00966351,0.001374524],"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":[0.00007003406,0.0000197204,0.001836986,0.0005439736,0.00002079437,0.00007107374,0.0002164764,0.0002767366,0.000233891,0.01186869,0.935297,0.04954468],"study_design_scores_gemma":[0.000008601024,0.000003921167,0.001817788,0.0001297565,0.000009444377,0.00002632468,0.00009072401,0.0001712975,0.000114226,0.0009797204,0.9966319,0.00001632938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0009144728,0.0008329999,0.001781302,0.0008945235,0.000519325,0.0002007064,0.8196231,0.0033915,0.1718421],"genre_scores_gemma":[0.004890731,0.002259845,0.006845262,0.0003505828,0.0002345257,0.0004250127,0.9217416,0.0007222495,0.0625302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2473189,"threshold_uncertainty_score":0.4917586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681788937114436,"score_gpt":0.2116806690757977,"score_spread":0.1948627797046533,"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."}}