{"id":"W2981793745","doi":"10.5194/essdd-8-447-2015","title":"IPY 2007–2008 data legacy – a long story cut short","year":2015,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Biomass (ecology); Upload; Tundra; Pangaea; Geography; Arctic; Meteorology; Environmental science; Computer science; Ecology; Biology; World Wide Web","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004719262,0.0007625279,0.0009781567,0.02400906,0.001170916,0.005178153,0.001329763,0.001135607,0.04053202],"category_scores_gemma":[0.02804438,0.0006790493,0.0006537305,0.04072361,0.0008439156,0.005947939,0.004193451,0.001823377,0.04022919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334787,"about_ca_system_score_gemma":0.007376568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502333,"about_ca_topic_score_gemma":0.01389569,"domain_scores_codex":[0.9965327,0.000364162,0.0007331387,0.0005950377,0.001516864,0.0002580646],"domain_scores_gemma":[0.9730525,0.006613696,0.003006739,0.003875337,0.01222352,0.001228115],"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":[0.0001279491,0.00002109617,0.002351535,0.002040166,0.00003686799,0.0001195927,0.0003462008,0.0001004469,0.0006442522,0.002413765,0.9543809,0.0374173],"study_design_scores_gemma":[0.00001004933,0.000009109938,0.006904566,0.0003959504,0.00001500381,0.00004274303,0.0001477353,0.00003388692,0.0002713371,0.0002310197,0.9919259,0.00001277406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.002302906,0.001911495,0.001150295,0.001915831,0.0007770406,0.0001136773,0.9725175,0.002020586,0.01729067],"genre_scores_gemma":[0.003467014,0.001985211,0.002713074,0.000387298,0.0003487144,0.0003124726,0.9830466,0.00115416,0.00658558],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9986702,"threshold_uncertainty_score":0.1355931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05664034637951893,"score_gpt":0.2582484847129139,"score_spread":0.201608138333395,"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."}}