{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488095,0.0002002791,0.0004888728,0.00006463037,0.0003111237,0.000005157134,0.002186266,0.000269588,0.0003721186],"category_scores_gemma":[0.001534849,0.0001562444,0.00003469043,0.0004949287,0.002596152,0.0002209475,0.00186896,0.0003301396,0.0001519368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003196768,"about_ca_system_score_gemma":0.0002301949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04810864,"about_ca_topic_score_gemma":0.490965,"domain_scores_codex":[0.9962485,0.001697754,0.0003801918,0.0006329211,0.0004110944,0.0006295198],"domain_scores_gemma":[0.9972814,0.0006098538,0.0001407497,0.0009165689,0.0006218614,0.0004295442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003630636,0.0002425228,0.8647895,0.00002411009,0.0001059603,0.0000529548,0.10606,0.00002513881,0.00002178765,0.009071659,0.01728589,0.001957378],"study_design_scores_gemma":[0.001408427,0.0009401685,0.6374522,0.00002331105,0.00009777352,0.00003678229,0.03641492,0.0006838111,0.0000117116,0.01888506,0.3032811,0.000764724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532924,0.001559892,0.0003592106,0.03017184,0.000870063,0.0003775646,0.0004261367,0.0002216137,0.01272123],"genre_scores_gemma":[0.9945307,0.0002631993,0.00194579,0.001498929,0.0002379174,0.00001218958,0.0009347866,0.00001055752,0.0005659287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428563,"threshold_uncertainty_score":0.9582301,"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."}}