{"id":"W7006712589","doi":"","title":"UK Industry on Track to Have Boosted Economy in Fourth Quarter 2017","year":2018,"lang":"en","type":"other","venue":"The New York Times","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Quarter (Canadian coin); Boosting (machine learning); Window (computing); Unemployment","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":[],"consensus_categories":[],"category_scores_codex":[0.0007788653,0.0003528869,0.0002114893,0.001476289,0.001744688,0.005434232,0.0003330958,0.001250858,0.1256126],"category_scores_gemma":[0.003894109,0.0001105859,0.0002545039,0.002760402,0.0008801206,0.003376953,0.002020343,0.001610722,0.03026458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003932143,"about_ca_system_score_gemma":0.00223892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02657474,"about_ca_topic_score_gemma":0.05079584,"domain_scores_codex":[0.9993454,0.00007426524,0.0000306383,0.00005343338,0.0002903035,0.0002060041],"domain_scores_gemma":[0.9988028,0.0001150499,0.0001575669,0.0001178377,0.0004984958,0.0003082428],"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":[0.0001702691,0.0000236489,0.003838879,0.0001587928,0.00001043205,0.0001941179,0.0009724189,0.0001253257,0.0002831896,0.1404389,0.7600123,0.09377179],"study_design_scores_gemma":[0.000006221184,0.00001454349,0.01238766,0.00008252321,0.000003789806,0.00008221073,0.0009652032,0.00007884797,0.0002293195,0.004535964,0.9816057,0.000008181384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02918346,0.004362984,0.0006762049,0.02827132,0.006514536,0.00002102817,0.006607726,0.0002845921,0.9240782],"genre_scores_gemma":[0.1229876,0.002732866,0.0004183919,0.001741365,0.001334781,0.00002497714,0.00257922,0.000233551,0.8679472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1256126,"threshold_uncertainty_score":0.4202158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05530605817620465,"score_gpt":0.2975841565131884,"score_spread":0.2422780983369838,"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."}}