{"id":"W7165370217","doi":"10.5284/1143629","title":"Land North of Bansons Lane, Ongar","year":2022,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Excavation; Amenity; Earthworks; Prehistory; Work (physics); Plan (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000230406,0.00009144225,0.0001622819,0.00004654023,0.0003145623,7.565438e-7,0.0009349756,0.00002329455,0.005770068],"category_scores_gemma":[0.00001330493,0.00008229661,0.00001712912,0.0001988161,0.0004158381,0.00009998362,0.0009281421,0.0001981448,0.0001549993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002263062,"about_ca_system_score_gemma":0.00002001369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859165,"about_ca_topic_score_gemma":0.1017466,"domain_scores_codex":[0.9989747,0.000152338,0.0001519382,0.0003039715,0.0001607424,0.0002563514],"domain_scores_gemma":[0.99922,0.0001754527,0.00007147457,0.0004745763,0.000007174274,0.00005138149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000438856,0.00002040216,0.9946603,0.00001122961,0.00003094158,0.00002375557,0.00102817,0.001377141,0.000002075334,0.00008138129,0.0005744996,0.002146207],"study_design_scores_gemma":[0.0001952571,0.0001203951,0.9232665,0.000001116332,0.00001575147,0.00004480351,0.0004070258,0.001823206,0.000003050546,0.000665313,0.07337072,0.0000868792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911806,0.0008255711,0.00006214293,0.002421719,0.0001889718,0.0000984869,0.003504351,0.00002237857,0.001695757],"genre_scores_gemma":[0.9917094,0.0001162414,0.0008615903,0.001829593,0.00002940132,0.000002194273,0.005309404,0.000002528936,0.0001396379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09588739,"threshold_uncertainty_score":0.9951388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921398234063308,"score_gpt":0.2115027065598176,"score_spread":0.1822887242191845,"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."}}