{"id":"W2897574271","doi":"10.3389/fenvs.2018.00115","title":"Enhancing Climate Change Research With Open Science","year":2018,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climate change; Front (military); Environmental science; Climate science; Environmental resource management; Climatology; Meteorology; Geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.009093773,0.0004730054,0.0004481421,0.005698721,0.00148066,0.00960662,0.001202073,0.002155954,0.1413166],"category_scores_gemma":[0.04828399,0.0002664908,0.0009480963,0.01033238,0.001629572,0.01377623,0.006857228,0.002273418,0.02787992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002743936,"about_ca_system_score_gemma":0.005089297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005188502,"about_ca_topic_score_gemma":0.01038886,"domain_scores_codex":[0.9940665,0.002390132,0.0002873281,0.0006116814,0.002034042,0.0006102161],"domain_scores_gemma":[0.9762161,0.008137115,0.001355022,0.003797885,0.007152823,0.00334106],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001746813,0.0001116497,0.002699246,0.001082923,0.00004814505,0.0001540702,0.000854622,0.001369023,0.0008873591,0.1440264,0.5732349,0.2753569],"study_design_scores_gemma":[0.00008282431,0.00003033034,0.00535831,0.0005370573,0.00002749552,0.00006222089,0.0006069162,0.0009081233,0.0007315663,0.07930893,0.9123274,0.00001889021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008666039,0.005762389,0.02188114,0.09960555,0.01026432,0.0003043872,0.009665907,0.003766455,0.8400839],"genre_scores_gemma":[0.5587444,0.02872908,0.1391675,0.02273757,0.01279114,0.001143395,0.02596499,0.005534912,0.205187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.998798,"threshold_uncertainty_score":0.4727511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5067970912365414,"score_gpt":0.556646742907669,"score_spread":0.04984965167112765,"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."}}