{"id":"W7068288276","doi":"","title":"Gross Prophet EP","year":2009,"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":"Ridiculous; Quarter (Canadian coin); Section (typography); 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":[],"category_scores_codex":[0.001303294,0.0008911004,0.0005854872,0.001760869,0.002887112,0.004972266,0.0009341252,0.001685067,0.4200248],"category_scores_gemma":[0.005824497,0.0004516791,0.0004631481,0.00100417,0.001092761,0.002877004,0.00267538,0.004238744,0.2976507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951974,"about_ca_system_score_gemma":0.002184835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009100182,"about_ca_topic_score_gemma":0.01993272,"domain_scores_codex":[0.9988789,0.0001174968,0.00003859852,0.0001997804,0.0006021442,0.000163093],"domain_scores_gemma":[0.9984192,0.0002754321,0.0000484068,0.0001886833,0.0007821706,0.0002860566],"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":[0.00002167263,0.00000476672,0.00004295551,0.00002202936,0.000001167108,0.00004052438,0.00006820647,0.00001751861,0.00007622447,0.008569957,0.9673263,0.02380868],"study_design_scores_gemma":[0.000002642117,0.000004366429,0.0000824232,0.0000263933,0.000001008428,0.00004495504,0.00004805503,0.00002793224,0.00008230554,0.000890546,0.998785,0.000004401154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007854,0.001161641,0.00323435,0.01193589,0.01710253,0.0001115456,0.001769809,0.001976556,0.9619222],"genre_scores_gemma":[0.002612517,0.0003126457,0.0005344503,0.002462553,0.0005494565,0.00002439211,0.0002892648,0.0008458539,0.9923689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4200248,"threshold_uncertainty_score":0.8272642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005344690880128051,"score_gpt":0.1845965870401432,"score_spread":0.1792518961600152,"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."}}