{"id":"W7001969222","doi":"","title":"LL.D. citation for William Kaplan, 21 February 2002","year":2002,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Citation analysis; Degree (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001441666,0.0008927789,0.001164994,0.003002878,0.001725087,0.005154085,0.0012948,0.00228276,0.746259],"category_scores_gemma":[0.0122784,0.0006646294,0.0004697096,0.003776041,0.0006988685,0.002220826,0.002068393,0.002292047,0.8021832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378821,"about_ca_system_score_gemma":0.002823662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534351,"about_ca_topic_score_gemma":0.02771902,"domain_scores_codex":[0.9987619,0.0001387608,0.0001021994,0.0001977263,0.0006663871,0.0001331483],"domain_scores_gemma":[0.9942018,0.0007260134,0.0003383069,0.0006037448,0.003326277,0.0008037477],"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":[0.000003947131,0.000002855871,0.00002500094,0.0000252088,3.610089e-7,0.000004879153,0.000006662464,0.000009358469,0.00001575935,0.0006091488,0.9914902,0.007806527],"study_design_scores_gemma":[0.000003593147,0.000003817182,0.0002027044,0.00006231823,9.436057e-7,0.00001055896,0.00001599937,0.0000208221,0.00002568032,0.000280198,0.9993705,0.00000296997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001399066,0.002549852,0.001037229,0.012285,0.006793223,0.0001281123,0.0111273,0.002594522,0.9633449],"genre_scores_gemma":[0.0005870789,0.0007793854,0.0001220135,0.0009454383,0.0003631364,0.00004370243,0.001606624,0.0003171553,0.9952355],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.746259,"threshold_uncertainty_score":0.3619307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009054208590657165,"score_gpt":0.1930975276825591,"score_spread":0.1840433190919019,"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."}}