{"id":"W7066382500","doi":"","title":"How to legally release Meng Wanzhou in order to bring home Michael Kovrig and Michael Spavor: Gar Pardy","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); China","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":[0.001422226,0.0007768795,0.0003676807,0.001048651,0.009026906,0.006388739,0.001090056,0.004060363,0.2146665],"category_scores_gemma":[0.005317373,0.00044159,0.0003574046,0.000976141,0.00184047,0.004688302,0.002419191,0.004117445,0.1115467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0052666,"about_ca_system_score_gemma":0.01405543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4931732,"about_ca_topic_score_gemma":0.5783216,"domain_scores_codex":[0.9983007,0.000105286,0.00004218863,0.0001501024,0.000865744,0.0005358472],"domain_scores_gemma":[0.9971691,0.0001899997,0.00009892937,0.0002124777,0.001427397,0.000902164],"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":[0.0000112077,0.000008851604,0.0003402242,0.00001781007,0.000001458219,0.00009682489,0.0001902477,0.00002513288,0.0002285386,0.003723059,0.9804121,0.01494451],"study_design_scores_gemma":[0.00000276798,0.000004338797,0.0004893465,0.00001682212,9.358336e-7,0.00002856678,0.0003378781,0.00002797132,0.0001551605,0.0002369266,0.9986898,0.000009588019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003811762,0.002718879,0.002949134,0.1547947,0.01705848,0.000347629,0.003040006,0.002401499,0.8128779],"genre_scores_gemma":[0.007800077,0.0008189344,0.0006463564,0.01488025,0.0003139719,0.00006033223,0.0006074323,0.0004150813,0.9744576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5068268,"threshold_uncertainty_score":0.9806052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00579200802103527,"score_gpt":0.170296230735867,"score_spread":0.1645042227148318,"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."}}