{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001495081,0.0001807696,0.0002658932,0.00009495143,0.0002092014,0.000006925081,0.0002102194,0.0001343586,0.005254501],"category_scores_gemma":[0.00007395655,0.0001234,0.00003998921,0.0001325469,0.0004124076,0.0001162292,0.00006501883,0.0001596582,0.00281216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003219567,"about_ca_system_score_gemma":0.00001612833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004657546,"about_ca_topic_score_gemma":0.003578486,"domain_scores_codex":[0.998613,0.00009062737,0.0001991503,0.0004113698,0.0002031697,0.0004826719],"domain_scores_gemma":[0.9994059,0.0001435451,0.00005648095,0.0002184883,0.00001570213,0.0001598864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005761626,0.0005277752,0.9022397,0.00004136144,0.0005351471,0.00006094111,0.001377733,0.00008815941,0.03597135,0.0002704698,0.007017456,0.05129369],"study_design_scores_gemma":[0.0007307072,0.0009091588,0.9707996,0.0001410881,0.00005908825,0.000005200974,0.0001075689,0.0004321582,0.01462716,0.0004965806,0.01133941,0.000352319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884576,0.001149548,0.0002718691,0.003293468,0.0001714772,0.0002322206,0.0001106507,0.00007531657,0.006237845],"genre_scores_gemma":[0.9880866,0.0003258465,0.002805232,0.0007025648,0.0001777502,0.000007750348,0.00005280518,0.000007208977,0.007834195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0685598,"threshold_uncertainty_score":0.9979643,"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."}}