{"id":"W2465926432","doi":"10.1371/journal.pone.0157144","title":"Integrated Tree-Ring-Radiocarbon High-Resolution Timeframe to Resolve Earlier Second Millennium BCE Mesopotamian Chronology","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Social Sciences and Humanities Research Council of Canada; University of Toronto; Directorate for Social, Behavioral and Economic Sciences; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; Sight Research UK; Cornell University; National Science Foundation","keywords":"Chronology; Radiocarbon dating; Scholarship; Dendrochronology; History; Archaeology; Ancient history; Paleontology; Geology; Genealogy; Law","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":[0.0006901359,0.0002040107,0.0002172843,0.002030138,0.0006625534,0.0008887143,0.0002469149,0.0002154355,0.002291981],"category_scores_gemma":[0.001070364,0.000141848,0.0001252052,0.002700015,0.0003009544,0.0004851868,0.000740662,0.0003734231,0.0005814648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171657,"about_ca_system_score_gemma":0.001033048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05427543,"about_ca_topic_score_gemma":0.204815,"domain_scores_codex":[0.9996855,0.00003580603,0.00002329578,0.0001057658,0.00009343595,0.00005629873],"domain_scores_gemma":[0.9995062,0.00004626284,0.00007973591,0.00007653706,0.0002454749,0.0000457725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006258041,0.00007679044,0.6060287,0.0005318832,0.000297773,0.0006692613,0.00800284,0.002409845,0.1418179,0.005321729,0.004420972,0.2297965],"study_design_scores_gemma":[0.000008612152,0.00003134551,0.966362,0.00006185652,0.0000564917,0.0002138533,0.0005541421,0.00143002,0.005445343,0.0002440804,0.02557771,0.00001452555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690197,0.002663211,0.007101381,0.00008842903,0.00009573008,0.00006476298,0.00301914,0.0001158761,0.01783179],"genre_scores_gemma":[0.9869093,0.0004520112,0.008470562,0.00003566211,0.00002766576,0.00004973074,0.001967149,0.00006581157,0.002022109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05427543,"threshold_uncertainty_score":0.107919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802267624340105,"score_gpt":0.1727869687885231,"score_spread":0.154764292545122,"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."}}