{"id":"W7071167774","doi":"","title":"SHORT CUTS #193 - Hate Laundry","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laundry; Work (physics); Government (linguistics); Star (game theory)","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":[0.0007452271,0.00082509,0.0005574822,0.00117883,0.004225235,0.006286383,0.001014873,0.00328586,0.805654],"category_scores_gemma":[0.004598237,0.0005069164,0.0003928261,0.0009449642,0.0006421626,0.003008097,0.003045373,0.003069609,0.7304218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195223,"about_ca_system_score_gemma":0.002421843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452384,"about_ca_topic_score_gemma":0.08673658,"domain_scores_codex":[0.9991653,0.00007474949,0.00002408851,0.00008523554,0.0004886799,0.0001619093],"domain_scores_gemma":[0.9963468,0.0003093273,0.00008508593,0.0002677109,0.001657545,0.001333664],"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":[0.000005354304,0.000003806381,0.00001821871,0.000009883769,2.084495e-7,0.000009814273,0.00001738755,0.00000201975,0.00002784068,0.000271526,0.9951924,0.004441367],"study_design_scores_gemma":[0.000002077211,0.00000424809,0.0002158281,0.0000175782,3.845716e-7,0.00001317238,0.00007331692,0.000006565794,0.00002445894,0.00009065674,0.9995496,0.000002130995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00043988,0.0007000439,0.0002648524,0.01112168,0.01162763,0.0001158896,0.002649796,0.001366888,0.9717134],"genre_scores_gemma":[0.0004924611,0.00008926726,0.00003902004,0.0008774019,0.0003766974,0.00001330506,0.0003963234,0.0002635286,0.997452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.805654,"threshold_uncertainty_score":0.277211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007990636180465336,"score_gpt":0.2010894049377233,"score_spread":0.193098768757258,"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."}}