{"id":"W7068187304","doi":"","title":"Dolores Chew","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Secularism; Politics; Democracy; Government (linguistics)","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":[0.001000608,0.0007436834,0.0004784418,0.001684029,0.008184743,0.004737979,0.0007627048,0.001809233,0.4470801],"category_scores_gemma":[0.003299448,0.0004245997,0.0003280622,0.001544251,0.001003555,0.003871895,0.003381369,0.003079955,0.1789339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003438584,"about_ca_system_score_gemma":0.003692651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06467499,"about_ca_topic_score_gemma":0.1525539,"domain_scores_codex":[0.9990125,0.0001034151,0.000018367,0.0001693013,0.0004110589,0.0002853411],"domain_scores_gemma":[0.9981207,0.0001718806,0.00004668617,0.00011944,0.0007015964,0.0008397542],"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":[0.00001927188,0.00001155718,0.0002288332,0.00001566215,7.402845e-7,0.00004255295,0.0001303906,0.000009650034,0.00004685934,0.001980188,0.986546,0.01096813],"study_design_scores_gemma":[0.000001896315,0.000002731079,0.0003125145,0.00001410072,5.834178e-7,0.00004021682,0.0003642893,0.00001573141,0.00005446154,0.0002296545,0.9989594,0.000004397257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002881187,0.001528615,0.0004289721,0.04599962,0.006861096,0.00008590912,0.004890214,0.001350493,0.935974],"genre_scores_gemma":[0.004889478,0.0003465073,0.0001207066,0.003777092,0.0002081006,0.00001260211,0.0006308802,0.0001850764,0.9898295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5529199,"threshold_uncertainty_score":0.7886732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871304681074971,"score_gpt":0.2016669259856867,"score_spread":0.192953879174937,"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."}}