{"id":"W2135151210","doi":"10.1111/apaa.12053","title":"12 The Mexican Legacy in Nicaragua, or Problems when Data Behave Badly","year":2015,"lang":"en","type":"article","venue":"Archeological Papers of the American Anthropological Association","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Political science","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":[0.02979275,0.0002496085,0.0003933112,0.002620095,0.004260672,0.007403466,0.001676614,0.001231192,0.003277748],"category_scores_gemma":[0.07211463,0.0003167273,0.0001364292,0.005491889,0.00593396,0.004700705,0.004299594,0.0014264,0.0002829231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003688179,"about_ca_system_score_gemma":0.00368178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05767377,"about_ca_topic_score_gemma":0.1091898,"domain_scores_codex":[0.9874778,0.008472426,0.001020873,0.0009796242,0.001436158,0.0006131651],"domain_scores_gemma":[0.9749851,0.009090039,0.005524886,0.005386988,0.004429969,0.0005830039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001906163,0.00005258451,0.5136787,0.0007987388,0.0002364309,0.00152809,0.2764354,0.0003972511,0.001062482,0.02334129,0.02996944,0.152309],"study_design_scores_gemma":[0.00001002685,0.0000448475,0.2721004,0.003231711,0.00009428322,0.0008980602,0.5497578,0.0003932448,0.0008080619,0.009038966,0.1635448,0.00007769146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531692,0.007451625,0.002634935,0.08559,0.0007950844,0.0001143769,0.001468607,0.00008296829,0.04869311],"genre_scores_gemma":[0.9845096,0.002870635,0.003005839,0.006045879,0.0002599657,0.0001400038,0.0004928123,0.00007613607,0.002598946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05767377,"threshold_uncertainty_score":0.1575611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1380518243157947,"score_gpt":0.3634570644300926,"score_spread":0.2254052401142979,"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."}}