{"id":"W3086005470","doi":"10.1371/journal.pone.0238526","title":"River networks and funerary metal in the Bronze Age of the Carpathian Basin","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; University of Pittsburgh; National Science Foundation","keywords":"Bronze Age; Betweenness centrality; Archaeology; Drainage basin; Geography; Consumption (sociology); Bronze; Structural basin; China; Centrality; Geology; Paleontology; Sociology; Cartography; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009187801,0.00004620028,0.00009087772,0.000005068163,0.00009360592,0.000002102591,0.0001188794,0.00002116278,0.0001248047],"category_scores_gemma":[0.00001301652,0.00002408043,0.00001877148,0.00007169737,0.0003793496,0.00003716396,0.00004021731,0.0001132485,0.000009070221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.616941e-7,"about_ca_system_score_gemma":0.000002190952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001938137,"about_ca_topic_score_gemma":0.0004625785,"domain_scores_codex":[0.9995525,0.00008653665,0.00006712916,0.00008801064,0.0001103308,0.0000954257],"domain_scores_gemma":[0.9998341,0.00006642656,0.0000213716,0.000056513,0.000001168512,0.0000204368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009943012,0.00002649792,0.9962239,0.000006964094,0.0000211061,0.000006849803,0.002707128,0.0001723677,0.00005218884,0.00002360817,0.00002971443,0.0007197679],"study_design_scores_gemma":[0.00008527483,0.00005111489,0.9974561,0.000008988984,0.00002065873,6.558332e-7,0.0002360032,0.001652546,0.00007356762,0.0001679912,0.0002142001,0.0000328649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943579,0.001734763,0.000006259553,0.002234297,0.00001453633,0.00009079436,0.00001315319,0.000003049582,0.001545222],"genre_scores_gemma":[0.9979776,0.0002306511,0.00007961028,0.001615331,0.00003476782,5.862912e-7,0.000007644649,7.731181e-7,0.00005303667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003619673,"threshold_uncertainty_score":0.139773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179036095202815,"score_gpt":0.1578950288774709,"score_spread":0.1261046679254428,"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."}}