{"id":"W2207428258","doi":"10.14430/arctic4477","title":"The U.S. Arctic Observing Viewer: A Web-Mapping Application for Enhancing Environmental Observation of the Changing Arctic","year":2015,"lang":"en","type":"article","venue":"ARCTIC","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Interoperability; Metadata; Computer science; World Wide Web; Remote sensing; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130765,0.000153757,0.0001493331,0.00002758225,0.000449974,0.00002824102,0.0003969211,0.00006084916,0.00005090189],"category_scores_gemma":[0.000221384,0.00009693245,0.0001061147,0.0003834746,0.0001578885,0.0001761013,0.0002675283,0.0001627421,0.0000719981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083044,"about_ca_system_score_gemma":0.00002244974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003174545,"about_ca_topic_score_gemma":0.0002099896,"domain_scores_codex":[0.9984987,0.0001076204,0.0003690513,0.000285728,0.0003587039,0.0003801314],"domain_scores_gemma":[0.9988562,0.0002676536,0.0002997383,0.0004736719,0.00001711629,0.00008561103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001073301,0.0003218921,0.4273591,0.0005024748,0.0002203304,0.000001246314,0.01975443,0.02569494,0.4817967,0.001736259,0.000136271,0.04236901],"study_design_scores_gemma":[0.004386775,0.0005197306,0.4336017,0.001188555,0.0006023286,0.0000690446,0.01483159,0.3755557,0.03489089,0.05118427,0.08141599,0.001753429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994365,0.0005775238,0.002183572,0.001148451,0.0003831691,0.001067281,0.000003406006,0.00002356964,0.0002479939],"genre_scores_gemma":[0.9979926,0.0000840357,0.0009219487,0.0002667234,0.00007199254,0.0001656653,0.000009969986,0.00002372184,0.0004633777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469059,"threshold_uncertainty_score":0.395279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193831785243599,"score_gpt":0.2186558319265202,"score_spread":0.1967175140740842,"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."}}