{"id":"W7062832457","doi":"","title":"US Politics, Beer from Bread, Orphaned Wells, and Free Pantry","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Government (linguistics); Politics; Clothing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004756024,0.0003676866,0.0004216161,0.00009765712,0.00003153439,0.00004535983,0.0003480936,0.0005827127,0.09074872],"category_scores_gemma":[0.00007851292,0.0003890261,0.00006880864,0.000006452273,0.0001174997,3.654703e-7,0.0001291693,0.0002829056,0.007279188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004802473,"about_ca_system_score_gemma":0.00001323729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477799,"about_ca_topic_score_gemma":0.000495142,"domain_scores_codex":[0.9987806,0.00001753542,0.0004685482,0.0001881665,0.0002526319,0.0002925353],"domain_scores_gemma":[0.9989521,0.00008071942,0.0002064013,0.0006235155,0.00006054676,0.00007674219],"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":[0.000006916332,0.000007549997,0.000004801258,0.0002796488,0.00008043137,0.000006393605,0.00004740353,0.001527979,0.000003151974,0.00007044416,0.9971156,0.0008497466],"study_design_scores_gemma":[0.0005071585,0.00003775063,0.000009136208,0.0001423678,0.00003927459,0.00001974431,0.0000733829,0.0001516411,0.0002150801,0.00007557995,0.9983327,0.0003961261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001671895,0.002006608,0.00001186389,0.00008881679,0.000564453,0.0003327913,0.0009076832,0.0009357569,0.9949849],"genre_scores_gemma":[0.000765444,0.001135127,0.004680444,0.0001575728,0.0001717682,0.00001058169,0.000292926,0.0001970438,0.9925891],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08346953,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003259762859356057,"score_gpt":0.1582515689012028,"score_spread":0.1549918060418467,"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."}}