{"id":"W2890024979","doi":"10.1038/d41586-018-06615-7","title":"How Earth-observation scientists are weathering budget cuts and political scepticism","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Skepticism; Forging; Weathering; Politics; Earth (classical element); Earth science; Political science; Climate change; Environmental ethics; Astrobiology; Geology; Engineering; Law; Epistemology; Geomorphology; Oceanography; Philosophy; Biology; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304675,0.00005776708,0.00006518156,0.00004761545,0.0005853047,0.000236318,0.0001503092,0.000439294,0.000273823],"category_scores_gemma":[0.0002789312,0.00005568611,0.00002065366,0.0001990061,0.0003583518,0.000232208,0.00005492454,0.0004085801,0.00003533897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004542254,"about_ca_system_score_gemma":0.00002225453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009721379,"about_ca_topic_score_gemma":0.003575424,"domain_scores_codex":[0.9992679,0.0000843536,0.0000569688,0.0001439816,0.0002300426,0.0002166987],"domain_scores_gemma":[0.9994746,0.00004186696,0.00003824107,0.0001645804,0.0001739783,0.000106668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000402543,0.0001510686,0.1068145,0.00007563399,0.00002064895,0.000004829222,0.0688956,1.593014e-7,0.01730308,0.7050092,0.01759937,0.08408564],"study_design_scores_gemma":[0.0001938242,0.00002809253,0.2706419,0.00006073358,0.000007746788,0.000002193214,0.009997328,0.0001195223,0.0001953819,0.002855114,0.7157484,0.0001498648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008372,0.0002942846,0.00006604551,0.05444308,0.0005775809,0.0001517284,0.00001331844,0.0001025308,0.0435142],"genre_scores_gemma":[0.9918206,0.0001905547,0.0005796582,0.001689969,0.0005903693,0.000003489723,0.00001277267,0.000006177353,0.005106449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7021541,"threshold_uncertainty_score":0.450175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2079347076523275,"score_gpt":0.4194079939520119,"score_spread":0.2114732862996844,"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."}}