{"id":"W2992682557","doi":"10.1177/0197693119889256","title":"Holocene faunal procurement and species response to climate change in the Ohio River valley","year":2019,"lang":"en","type":"article","venue":"North American Archaeologist","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holocene; Geography; Ecology; Climate change; Fauna; Marsh; Fishery; Archaeology; Wetland; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007825401,0.0002016304,0.0002710222,0.0002026817,0.0001207877,0.00003350833,0.0005363508,0.00002417583,0.0002195561],"category_scores_gemma":[0.0002204507,0.0001342268,0.00003970797,0.0005649222,0.001134077,0.0001040084,0.0001546444,0.0001956937,0.0004194239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001320296,"about_ca_system_score_gemma":0.00002927498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004627327,"about_ca_topic_score_gemma":0.02642427,"domain_scores_codex":[0.9979217,0.0004477527,0.0002200172,0.0004249577,0.0003631701,0.0006223934],"domain_scores_gemma":[0.9986773,0.0006099792,0.0001052307,0.0004446351,0.00002529941,0.0001376256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001512107,0.0000178558,0.9733804,0.00001474395,0.000005641332,0.00006802016,0.004271293,0.0002303941,0.000007259313,0.00002492144,0.00002650278,0.02044079],"study_design_scores_gemma":[0.0002406698,0.0009188475,0.9944396,0.000016173,0.000005464667,0.00002767492,0.000694159,0.0001687568,0.000006837219,0.00001680269,0.00327704,0.0001879486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933118,0.0001620628,0.000005444665,0.004884197,0.00007849037,0.0006556947,0.0001471824,0.00004811913,0.0007070336],"genre_scores_gemma":[0.9966472,0.0004366233,0.0009512128,0.001798785,0.00005462288,0.00001685468,0.0000271223,0.000005866185,0.00006168446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02179694,"threshold_uncertainty_score":0.9913409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919618122299495,"score_gpt":0.2559434531185272,"score_spread":0.2267472718955323,"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."}}