{"id":"W4388737506","doi":"10.1017/s0068246223000119","title":"THE FALERII NOVI PROJECT: THE 2022 SEASON","year":2023,"lang":"en","type":"article","venue":"Papers of the British School at Rome","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Content (measure theory); Computer science; World Wide Web; Information retrieval; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007673926,0.00007376988,0.0001046062,0.00001158141,0.007469058,0.000277316,0.0006243356,0.00004918651,0.0001947485],"category_scores_gemma":[0.0006597126,0.00004119021,0.0001790678,0.0007950044,0.0006995416,0.00007649431,0.0003779678,0.0001618436,0.0000761231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053147,"about_ca_system_score_gemma":0.0001583195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01207357,"about_ca_topic_score_gemma":0.05999713,"domain_scores_codex":[0.9985805,0.0001994737,0.0001536764,0.0001588738,0.0005614459,0.0003460663],"domain_scores_gemma":[0.9992354,0.0002526977,0.00008730076,0.0002951051,0.00007466016,0.000054822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002378458,0.00003746909,0.01239437,0.0000193955,0.0001844467,0.00001877006,0.008169712,0.00008584931,0.000738884,0.005191938,0.952571,0.02056441],"study_design_scores_gemma":[0.0001280011,0.00001206166,0.2252413,0.00003426746,0.00002255061,0.000006121019,0.00918557,0.00001565717,0.000009089766,0.0003780611,0.7648789,0.00008832853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6549765,0.003366643,1.99476e-7,0.07010721,0.00165302,0.001145573,0.00008431338,0.0001580328,0.2685086],"genre_scores_gemma":[0.8730848,0.002107429,0.000006072384,0.000280978,0.0003778154,0.00007428238,0.000003528957,0.00001267325,0.1240524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2181084,"threshold_uncertainty_score":0.9945051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320893268575219,"score_gpt":0.2699161823384666,"score_spread":0.2567072496527145,"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."}}