{"id":"W6931784854","doi":"10.5284/1116274","title":"Archaeological monitoring at Blue House Barn, Sudbury Road, Downham, Essex, CM11 1LA.","year":2019,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavation; Natural (archaeology); Archaeological record; Archaeological evidence; Archaeological science","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.001528983,0.0006132364,0.0008182941,0.0002695084,0.0002609638,0.00007199828,0.01089337,0.0004259422,0.0002693634],"category_scores_gemma":[0.0002230442,0.0005675926,0.0001168785,0.001065005,0.0006046366,0.001348873,0.03980011,0.000896106,0.00279831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869556,"about_ca_system_score_gemma":0.0001839228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115647,"about_ca_topic_score_gemma":0.0009166477,"domain_scores_codex":[0.993578,0.0007108236,0.0007736705,0.002746163,0.0007156596,0.0014757],"domain_scores_gemma":[0.9904999,0.00120672,0.0002652435,0.007309428,0.0002793481,0.0004394221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003481409,0.001066628,0.8456969,0.0005712502,0.0004720323,0.001329182,0.02690851,0.006252429,0.00804895,0.01736067,0.001643466,0.09030189],"study_design_scores_gemma":[0.003138453,0.0009095627,0.6031488,0.0001082701,0.00008028482,0.001610708,0.0005079327,0.3116401,0.00311981,0.02074185,0.05263294,0.002361262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221544,0.000590669,0.06469186,0.007656684,0.002602757,0.0007550707,0.00008150384,0.001261147,0.0002058701],"genre_scores_gemma":[0.8975536,0.0001376372,0.09934757,0.00189337,0.0005072369,0.00005379404,0.0002071705,0.00006574926,0.0002339246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3053877,"threshold_uncertainty_score":0.9996775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818199057091914,"score_gpt":0.2731013523927219,"score_spread":0.2349193618218028,"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."}}