{"id":"W4400745302","doi":"10.1016/j.quascirev.2024.108812","title":"Evaluating the impact of climate change and millennial variability on the last Neanderthal populations in Europe (Marine Isotope Stage 3)","year":2024,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Neanderthal; Marine isotope stage; Climate change; Stage (stratigraphy); Oceanography; Climatology; Physical geography; Geography; Geology; Paleontology; Archaeology; Pleistocene; Interglacial","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":[0.01167115,0.0001111433,0.0002164113,0.00008500424,0.0005606948,0.00008643075,0.0004686328,0.00002533297,0.0001560499],"category_scores_gemma":[0.001233657,0.00005213531,0.00006844731,0.001109346,0.001224837,0.0002949097,0.0002641344,0.0001692185,0.00001813043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007557754,"about_ca_system_score_gemma":0.0002163641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109824,"about_ca_topic_score_gemma":0.00486804,"domain_scores_codex":[0.9975079,0.001149873,0.0003564441,0.0003171957,0.0003153735,0.0003531916],"domain_scores_gemma":[0.9990628,0.0004242104,0.0001148893,0.0002791551,0.00005158968,0.00006733236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001949683,0.00005011758,0.7728764,0.0000540176,0.000003701746,0.000007112923,0.01487015,0.00004026893,0.0004529116,0.04150541,0.00002594591,0.1700945],"study_design_scores_gemma":[0.0001108847,0.0004103404,0.9691426,0.0002634427,0.00001019638,0.000004651936,0.0003224577,0.02285655,0.000009121683,0.002067593,0.004662841,0.00013936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912229,0.001114601,0.00001228041,0.002479892,0.0002372325,0.0008329165,0.00001314796,0.00001352542,0.004073468],"genre_scores_gemma":[0.9905123,0.008962863,0.0001655107,0.0001091826,0.0001248644,0.00005050045,0.000001325921,0.000004975377,0.00006853876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1962662,"threshold_uncertainty_score":0.4512962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2502258948668548,"score_gpt":0.4571069762477251,"score_spread":0.2068810813808704,"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."}}