{"id":"W4266901","doi":"10.1007/bf01770679","title":"From the Archives to the Tower","year":2007,"lang":"en","type":"article","venue":"","topic":"Biographical and Historical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Tower; Computer science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008572805,0.00005025206,0.00005600291,0.00002348771,0.0003929784,0.00007809787,0.0002103495,0.000009978686,0.009556811],"category_scores_gemma":[0.000009158797,0.00001738177,0.0001127838,0.00005647407,0.000164281,0.0000178881,0.00003824684,0.00007863894,0.000247505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000257763,"about_ca_system_score_gemma":0.000001895068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723907,"about_ca_topic_score_gemma":0.02927798,"domain_scores_codex":[0.9995889,0.00001162562,0.000091535,0.00009052917,0.00009927631,0.0001181008],"domain_scores_gemma":[0.9995199,0.0002510073,0.00001164928,0.0001585002,0.00001234251,0.00004658938],"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":[0.00001815892,0.00003924387,0.0002125436,3.329632e-7,0.00005945658,0.000001129951,0.03364183,4.353115e-7,0.00003652077,0.691075,0.2405362,0.03437916],"study_design_scores_gemma":[0.0000200878,0.00001311295,0.001841427,0.000001137949,0.00001873445,4.334844e-8,0.002421916,0.000005969888,0.000008718078,0.01284444,0.9827813,0.00004314603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01148213,0.0003543924,0.002034285,0.07396702,0.000433672,0.00008135199,0.00001716389,0.00005521784,0.9115748],"genre_scores_gemma":[0.9021562,0.000009172833,0.00008323043,0.01076234,0.002012499,0.00000345099,0.000003313212,0.000003541016,0.08496628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8906741,"threshold_uncertainty_score":0.9913486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028796888262016,"score_gpt":0.196483117422834,"score_spread":0.1761951485402138,"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."}}