{"id":"W2491463494","doi":"10.1017/cbo9781139003544","title":"Lionel Robbins","year":2011,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biography; Officer; Artillery; The Renaissance; Administration (probate law); Government (linguistics); Service (business); Management; History; Art history; Political science; Sociology; Law; Philosophy; 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":[0.0003983389,0.0008814818,0.000421766,0.002175895,0.002376695,0.003960507,0.0006009343,0.00145266,0.08398386],"category_scores_gemma":[0.001601368,0.0003575262,0.0002148003,0.00155165,0.0016259,0.004293945,0.001501119,0.003085969,0.05507179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004167154,"about_ca_system_score_gemma":0.001855347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258709,"about_ca_topic_score_gemma":0.03090074,"domain_scores_codex":[0.9995297,0.00007846624,0.00001892166,0.0001341049,0.0001911747,0.00004763968],"domain_scores_gemma":[0.9995441,0.0001718312,0.00003267755,0.00004175008,0.0001527659,0.00005695078],"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":[0.00001314041,0.000008972305,0.0000543317,0.0000993256,0.000001479597,0.00005200908,0.0004709898,0.00003603254,0.00009882058,0.04901972,0.9092648,0.04088041],"study_design_scores_gemma":[6.340087e-7,0.000001451349,0.00003658191,0.00007209738,3.653856e-7,0.00003112089,0.00003251429,0.000008257019,0.00002815912,0.00129232,0.9984952,0.000001388984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006335999,0.104336,0.0008585956,0.02181889,0.006868319,0.00002883416,0.0004082486,0.0003216169,0.8647259],"genre_scores_gemma":[0.003361712,0.01269903,0.0002491002,0.003448933,0.0005683625,0.0000177567,0.0000919119,0.0001332841,0.9794298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08398386,"threshold_uncertainty_score":0.280954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377528236390493,"score_gpt":0.2129085104693289,"score_spread":0.169133228105424,"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."}}