{"id":"W6969377607","doi":"10.5284/1094748","title":"An Archaeological Landscape Survey of Sheffield Park Gardens, East Sussex","year":2015,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shore; Field survey; Clearing; Boundary (topology); Infantry; National park; Survey methodology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312363,0.0002779316,0.0002553356,0.002491774,0.002718794,0.00125336,0.0005445261,0.0003534861,0.01915594],"category_scores_gemma":[0.0008540832,0.0005248815,0.0001601162,0.004370288,0.0007648658,0.0006774215,0.001010013,0.0003038696,0.001266382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00300098,"about_ca_system_score_gemma":0.003336944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6799587,"about_ca_topic_score_gemma":0.961341,"domain_scores_codex":[0.9994872,0.00007341897,0.0000282099,0.00008420282,0.000221507,0.0001054924],"domain_scores_gemma":[0.9994255,0.00008129843,0.00008649891,0.00004920036,0.0002390091,0.000118464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003832066,0.0001587946,0.6009706,0.00188938,0.000159217,0.008298551,0.1119222,0.0004862078,0.01054804,0.002331462,0.07908572,0.1837665],"study_design_scores_gemma":[0.000007808123,0.00004512822,0.9166594,0.0003031732,0.00001217253,0.0005496919,0.03519908,0.00003877558,0.0002197375,0.00005117292,0.04689761,0.00001619139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446439,0.005009681,0.0002647013,0.0005491286,0.00005763026,0.0001713033,0.01071146,0.00003236065,0.0385598],"genre_scores_gemma":[0.9160344,0.005315773,0.001804523,0.0002938337,0.00002573575,0.0002121694,0.00611851,0.00004628298,0.07014871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6799587,"threshold_uncertainty_score":0.6438521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1623335650591078,"score_gpt":0.3493689458172317,"score_spread":0.1870353807581239,"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."}}