{"id":"W7056428075","doi":"","title":"Elliott Feldman: The $450M Softwood Lumber Slush Fund","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Wonder; Charge (physics); Slush","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":[0.0003221142,0.000397601,0.0001383919,0.0006445297,0.001871676,0.002121705,0.0003198573,0.001134463,0.5018538],"category_scores_gemma":[0.001013882,0.0001690098,0.0001139357,0.0005188321,0.0002181435,0.001718328,0.000934556,0.0009099481,0.2315199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000838978,"about_ca_system_score_gemma":0.001090262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056053,"about_ca_topic_score_gemma":0.03321017,"domain_scores_codex":[0.9998386,0.00001243751,0.000003745711,0.00002273333,0.00007928495,0.00004329839],"domain_scores_gemma":[0.9996668,0.00002810674,0.00001574911,0.00001706827,0.0001036458,0.0001686129],"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":[0.000005859699,0.0000055682,0.0000439906,0.000005746022,1.727122e-7,0.00001339151,0.00001178619,0.000004488796,0.00002497011,0.0007424788,0.9847018,0.01443972],"study_design_scores_gemma":[0.000001039992,0.000002273866,0.0002521986,0.00001109224,1.922211e-7,0.00001069201,0.00004568563,0.000006498432,0.00002122475,0.0001084148,0.9995396,0.000001129727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008844041,0.002115904,0.0001756157,0.01125999,0.002623852,0.0000273671,0.0008441152,0.0004698674,0.9815989],"genre_scores_gemma":[0.001706853,0.0003826334,0.00005297978,0.0005331811,0.0001337962,0.000004577636,0.000138131,0.00005124815,0.9969966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5018538,"threshold_uncertainty_score":0.7105451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006610589191873929,"score_gpt":0.198857722762863,"score_spread":0.192247133570989,"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."}}