{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007613449,0.0006870804,0.0006602555,0.00119117,0.002318426,0.006791485,0.001258669,0.003024691,0.08859666],"category_scores_gemma":[0.007020725,0.0004334936,0.0006066149,0.001150582,0.0008986249,0.001770476,0.004716083,0.002326905,0.03226105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003504612,"about_ca_system_score_gemma":0.01240755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03107798,"about_ca_topic_score_gemma":0.04910904,"domain_scores_codex":[0.9966973,0.000737983,0.00008167983,0.0002777206,0.0009445452,0.001260793],"domain_scores_gemma":[0.9948052,0.0003572754,0.0002526742,0.0004893935,0.0008744784,0.003220994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006584367,0.0001177544,0.003803522,0.0002276758,0.00002168892,0.0001587091,0.000306734,0.0001922763,0.0002619855,0.0208469,0.9461271,0.02727721],"study_design_scores_gemma":[0.00009584683,0.0000809897,0.0195209,0.0002268667,0.000004560367,0.00006167586,0.0005257234,0.0001992973,0.0001987089,0.002498501,0.9765741,0.00001296061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03044626,0.008290581,0.002337824,0.07829954,0.02243398,0.0009732812,0.1363734,0.001379628,0.7194656],"genre_scores_gemma":[0.1393605,0.002320158,0.006480013,0.01399422,0.002958028,0.00173481,0.1062657,0.002194064,0.7246925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08859666,"threshold_uncertainty_score":0.2963853,"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."}}