{"id":"W4243520502","doi":"10.1108/s0731-905320160000036009","title":"Acknowledgments","year":2016,"lang":"en","type":"other","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Honour; Library science; Honor; Spatial econometrics; Management; Sociology; Political science; Statistics; Economics; Computer science; Mathematics; Law","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":["insufficient_payload"],"category_scores_codex":[0.004276878,0.001440854,0.001011733,0.004339468,0.003513615,0.009264367,0.002552009,0.003133283,0.5329928],"category_scores_gemma":[0.02226398,0.0004855979,0.001024602,0.005144553,0.001061212,0.005752248,0.004921789,0.003118607,0.4877076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052694,"about_ca_system_score_gemma":0.005460165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390753,"about_ca_topic_score_gemma":0.005202458,"domain_scores_codex":[0.9952515,0.0008459301,0.0004601614,0.0008690648,0.002178857,0.0003944107],"domain_scores_gemma":[0.9879694,0.001450921,0.0005382199,0.001629625,0.007111761,0.001300121],"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":[0.00001318386,0.000006440354,0.00008250291,0.0001094321,0.000002157771,0.00002145256,0.00009900406,0.00001299911,0.00004987408,0.003853217,0.9732222,0.02252764],"study_design_scores_gemma":[0.000002643676,0.000003711869,0.0001120185,0.00009522729,0.000001474628,0.00002838726,0.00008585685,0.00001131997,0.00003074413,0.0007748043,0.9988506,0.000003193039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001159421,0.01025086,0.005965605,0.06725448,0.1249225,0.0006312245,0.04126146,0.003625523,0.7449289],"genre_scores_gemma":[0.006002419,0.005642412,0.00369165,0.01674576,0.01014652,0.0006093337,0.03007267,0.002349472,0.9247398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4670072,"threshold_uncertainty_score":0.666129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008713776838387442,"score_gpt":0.262405705327745,"score_spread":0.2536919284893576,"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."}}