{"id":"W2147002317","doi":"10.1073/pnas.1202383109","title":"Next-generation Digital Earth","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":385,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; Innovation, Science and Economic Development Canada","keywords":"Digital Earth; Earth (classical element); Data science; Computer science; Remote sensing; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003200249,0.0002982657,0.0002223131,0.001258498,0.002113975,0.006624383,0.001165227,0.003465246,0.02489819],"category_scores_gemma":[0.006569554,0.0001834057,0.0004102781,0.001198156,0.001879378,0.0116179,0.006663333,0.002762543,0.004902562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638852,"about_ca_system_score_gemma":0.002868769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305912,"about_ca_topic_score_gemma":0.003827744,"domain_scores_codex":[0.9988795,0.0003537104,0.00004030337,0.0001091157,0.0003924518,0.0002249089],"domain_scores_gemma":[0.9978653,0.0006352711,0.00009355257,0.0003731622,0.0004577203,0.000575136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000304824,0.00003588688,0.0006933562,0.0001562631,0.000008887294,0.0002365275,0.001159171,0.0003725644,0.0005402701,0.7327448,0.1844927,0.07952904],"study_design_scores_gemma":[0.000003252079,0.00001300637,0.0002176225,0.00007399257,0.000002853491,0.0001373189,0.0005685469,0.0002968015,0.0002079575,0.04544168,0.9530292,0.000007758204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0138026,0.01858029,0.03601374,0.1600243,0.009740153,0.0001607559,0.001033152,0.001313041,0.759332],"genre_scores_gemma":[0.4846596,0.04554462,0.09069025,0.06278395,0.005152996,0.0004756377,0.004117027,0.0007244603,0.3058514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02489819,"threshold_uncertainty_score":0.08329278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149965362245678,"score_gpt":0.33100847521833,"score_spread":0.2160119389937623,"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."}}