{"id":"W6912821532","doi":"10.5284/1131821","title":"Deanshanger, 18 High Street","year":2016,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Historical Architecture and Urbanism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Alluvium; Excavation; Trench; Feature (linguistics); Aggradation; Alluvial plain; Phase (matter); Flooding (psychology)","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":["insufficient_payload"],"category_scores_codex":[0.0001261999,0.000150943,0.0001858463,0.00007244759,0.0001744774,0.00001036007,0.001102623,0.0000554964,0.008987476],"category_scores_gemma":[0.00003933262,0.00009272939,0.00002467997,0.000042404,0.0003999414,0.0002517278,0.0009125268,0.0001132869,0.001452649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064794,"about_ca_system_score_gemma":0.00002976471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293004,"about_ca_topic_score_gemma":0.08264932,"domain_scores_codex":[0.9988396,0.00007830591,0.0001845941,0.0004176714,0.0001305017,0.0003493519],"domain_scores_gemma":[0.9984565,0.000268683,0.00005531102,0.001048504,0.00006980858,0.0001011815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007705095,0.0001175865,0.001811805,0.00005363593,0.000121048,0.00008074199,0.02192042,4.394233e-7,0.0004011538,0.7601519,0.1559368,0.05932741],"study_design_scores_gemma":[0.0003447254,0.00007031027,0.0004816444,0.00001478694,0.00002523666,0.000006038627,0.0001063516,0.000009630662,0.00003718239,0.03170682,0.967035,0.0001622839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.520642,0.002647706,0.01256835,0.2363573,0.01032167,0.00125369,0.01255146,0.001844839,0.201813],"genre_scores_gemma":[0.977594,0.00005136524,0.0008998291,0.0092654,0.001538113,0.00001619894,0.000569324,0.00003124741,0.01003449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8110982,"threshold_uncertainty_score":0.9993249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07716184267542685,"score_gpt":0.2435754566393762,"score_spread":0.1664136139639494,"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."}}