{"id":"W7028231017","doi":"","title":"Ep #50 - You Lefties Always Use Per Capita","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Politics; Term (time); Yield (engineering); Netting","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":[0.0004418845,0.000429652,0.0003416106,0.001284823,0.0007866761,0.00397509,0.0006130315,0.001022183,0.4679119],"category_scores_gemma":[0.00394862,0.0002902981,0.0003574244,0.003177539,0.0003215941,0.002550077,0.001323538,0.001263764,0.3454713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860611,"about_ca_system_score_gemma":0.002176544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05804762,"about_ca_topic_score_gemma":0.05683763,"domain_scores_codex":[0.9994448,0.00005684408,0.00002570176,0.0000737767,0.0002970667,0.0001018595],"domain_scores_gemma":[0.9988825,0.0001632953,0.00008358989,0.0001679319,0.0005631237,0.0001395596],"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":[0.00001230319,0.000005244161,0.0003064434,0.0000752903,0.000003668091,0.00001038759,0.00004030476,0.00002526787,0.00006577617,0.004637877,0.9680624,0.0267552],"study_design_scores_gemma":[0.000002447046,0.000002052001,0.001074146,0.00004140883,0.000001531174,0.00001163079,0.00003275711,0.00001524984,0.00007535899,0.0002831783,0.9984571,0.000003053964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001201794,0.001900454,0.0004119653,0.007212377,0.001581254,0.00004643741,0.05766529,0.001045477,0.928935],"genre_scores_gemma":[0.008308067,0.0019016,0.0003137262,0.001632792,0.0002296809,0.00006839179,0.01187694,0.0008346603,0.9748342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.532088,"threshold_uncertainty_score":0.7589591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758813040716703,"score_gpt":0.2458377040611909,"score_spread":0.2282495736540238,"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."}}