{"id":"W2794185780","doi":"10.1038/d41586-018-01303-y","title":"Steps to the digital Silk Road","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Middle East; East Asia; Geography; Satellite imagery; Key (lock); Big data; Sustainability; Remote sensing; Computer science; China; Archaeology; Ecology; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.006704628,0.0005436308,0.0005616829,0.001636613,0.003402747,0.01211696,0.001686476,0.007795145,0.06909408],"category_scores_gemma":[0.01488609,0.0002830804,0.0006510861,0.001466375,0.008800442,0.02077577,0.008054543,0.009459526,0.01039636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002800994,"about_ca_system_score_gemma":0.009054918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007507724,"about_ca_topic_score_gemma":0.008037384,"domain_scores_codex":[0.9975337,0.0007772797,0.0001114573,0.0002409805,0.0008538676,0.0004828311],"domain_scores_gemma":[0.9909583,0.004119246,0.0002385379,0.0008996407,0.001673866,0.002110288],"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":[0.00006489649,0.000100484,0.000507164,0.0001886014,0.00001471049,0.0001404289,0.0005771501,0.0003902422,0.0003166875,0.7268112,0.2009254,0.06996308],"study_design_scores_gemma":[0.00001279007,0.00002565719,0.0004714884,0.0002615446,0.000005688608,0.00008574969,0.001398001,0.000300367,0.0001515385,0.2896676,0.7076015,0.00001812673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006978389,0.02326057,0.01453862,0.7161371,0.01469458,0.00006631292,0.0006232753,0.0005491506,0.223152],"genre_scores_gemma":[0.3764223,0.06039703,0.04428158,0.2921489,0.01364686,0.0004115338,0.001743382,0.001002516,0.2099458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06909408,"threshold_uncertainty_score":0.2311428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004270162927054756,"score_gpt":0.2117383618330835,"score_spread":0.2074681989060288,"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."}}