{"id":"W3193928105","doi":"10.1163/1568525x-bja10087","title":"Prairie Oysters and Perjured Roisterers","year":2021,"lang":"en","type":"article","venue":"Mnemosyne","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Oyster; History; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003801332,0.0003729579,0.000412276,0.000771659,0.002083624,0.0009410048,0.0005841146,0.0004960551,0.00247836],"category_scores_gemma":[0.0008770369,0.0004146079,0.0001884974,0.0006728127,0.001752096,0.0004480266,0.001155145,0.0006829997,0.0004729926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384055,"about_ca_system_score_gemma":0.0005239195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07005072,"about_ca_topic_score_gemma":0.3434396,"domain_scores_codex":[0.9996114,0.00003970541,0.00002077943,0.0001638849,0.0000591338,0.0001051759],"domain_scores_gemma":[0.9995691,0.00005377367,0.0001010492,0.00005401143,0.0001066667,0.0001154294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00270838,0.001078041,0.8297814,0.0001334186,0.00009711836,0.007564934,0.08636828,0.0002274077,0.04686325,0.001142074,0.0005959931,0.02343976],"study_design_scores_gemma":[0.00001199715,0.0004882872,0.9537293,0.00001773048,0.00002192466,0.0009734685,0.04096494,0.0001028702,0.001214406,0.00009182837,0.002366591,0.00001653211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991338,0.00002343959,0.00002016982,0.000009637864,0.000002185493,0.000005722708,0.00003211092,8.263863e-7,0.0007721534],"genre_scores_gemma":[0.9931961,0.00008934072,0.0002148341,0.00003885066,0.000002604225,0.000008469317,0.0001216444,0.000002955827,0.006325161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07005072,"threshold_uncertainty_score":0.1392859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666209221565206,"score_gpt":0.2843501978496326,"score_spread":0.2676881056339805,"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."}}