{"id":"W206884589","doi":"10.1007/1-4020-3048-7_2","title":"“In Order That We Should Not Ourselves Appear to Be Adjusting Our Estimates … to Make Them Fit Some Predetermined Amount”","year":2005,"lang":"en","type":"book-chapter","venue":"Archimedes","topic":"Ancient Near East History","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Order (exchange); Statistics; Econometrics; Mathematics; Economics","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":[0.02154096,0.0008145801,0.0005755487,0.0006996852,0.00118791,0.003454607,0.001811499,0.002636996,0.008557945],"category_scores_gemma":[0.09419765,0.0007805229,0.0006706007,0.001175932,0.005191247,0.005564061,0.001545351,0.006279979,0.005527369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376284,"about_ca_system_score_gemma":0.002494958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007960316,"about_ca_topic_score_gemma":0.01288562,"domain_scores_codex":[0.9866127,0.008264603,0.0005636652,0.001711917,0.00257991,0.0002670931],"domain_scores_gemma":[0.9751492,0.01455317,0.001766782,0.005538668,0.002806293,0.0001857966],"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":[0.0001134392,0.00008335914,0.006796296,0.0004321855,0.0002745177,0.00009586749,0.004477038,0.007047969,0.001620708,0.6112049,0.1308283,0.2370254],"study_design_scores_gemma":[0.0000442352,0.0001065979,0.005548943,0.0005747958,0.0001757851,0.000324612,0.001428045,0.006758964,0.00561741,0.3993406,0.5799085,0.0001714943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01696238,0.00891797,0.6198442,0.1445262,0.007963876,0.0002055205,0.001137274,0.001385573,0.1990569],"genre_scores_gemma":[0.2519784,0.005504775,0.534595,0.07661416,0.003158095,0.0004836587,0.0008774954,0.001524419,0.1252641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02154096,"threshold_uncertainty_score":0.1139208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682518907644094,"score_gpt":0.2861415918843103,"score_spread":0.1178897011199008,"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."}}