{"id":"W3095732374","doi":"10.1371/journal.pone.0240799","title":"Beyond megadrought and collapse in the Northern Levant: The chronology of Tell Tayinat and two historical inflection episodes, around 4.2ka BP, and following 3.2ka BP","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Materials Research; Social Sciences and Humanities Research Council of Canada; Cornell Center for Materials Research; College of Veterinary Medicine, Cornell University; University of Toronto; National Science Foundation","keywords":"Chronology; Inflection point; Inflection; Geology; Paleontology; Geometry; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383415,0.0004413665,0.0002228806,0.001776024,0.002906797,0.001867169,0.0004684703,0.0004621584,0.002813541],"category_scores_gemma":[0.0007129728,0.0003125661,0.0001545103,0.002189123,0.002727813,0.00148877,0.001654804,0.0007740607,0.0003999345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00281912,"about_ca_system_score_gemma":0.001167518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04039225,"about_ca_topic_score_gemma":0.1126698,"domain_scores_codex":[0.9998088,0.00003332662,0.00001794645,0.00004661974,0.00004346329,0.00004968044],"domain_scores_gemma":[0.9997811,0.0000290655,0.00006919022,0.00001402059,0.00006992921,0.0000366214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009696931,0.0001067419,0.3210817,0.001048418,0.000111478,0.009387006,0.4829076,0.001255086,0.01080742,0.04846278,0.01066752,0.1131945],"study_design_scores_gemma":[0.00001140044,0.0001563369,0.7047631,0.0004851275,0.00005341185,0.00353789,0.1232043,0.0005814765,0.001943555,0.002026653,0.1631762,0.00006050966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685237,0.004248367,0.0002776448,0.0005165747,0.0001057912,0.00001656689,0.0003327381,0.0000218284,0.02595666],"genre_scores_gemma":[0.9952905,0.001193272,0.0002109225,0.00004036775,0.00002445795,0.0000106327,0.0003105429,0.00001778735,0.002901511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04039225,"threshold_uncertainty_score":0.08031428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796294432740182,"score_gpt":0.1912976597336278,"score_spread":0.163334715406226,"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."}}