{"id":"W7052692255","doi":"","title":"SHORTS CUTS #227 - Scandal? What Scandal?","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Climate change; Observer (physics); Work (physics)","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":[0.003098159,0.0005420519,0.0004917502,0.001708011,0.005350585,0.0126513,0.001142876,0.007377783,0.2335282],"category_scores_gemma":[0.01747981,0.0004211168,0.0004055063,0.001640511,0.001691619,0.005449215,0.002876404,0.005658218,0.1377002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003004431,"about_ca_system_score_gemma":0.005106687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03081388,"about_ca_topic_score_gemma":0.05439938,"domain_scores_codex":[0.99664,0.00040175,0.0001717963,0.0002411865,0.00173567,0.0008096618],"domain_scores_gemma":[0.9906363,0.002384367,0.0005118879,0.0006171998,0.003332887,0.002517266],"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":[0.00001392195,0.000006195068,0.0001921719,0.00003111191,0.000001097299,0.00005058797,0.00005539959,0.000004767386,0.00004426058,0.003009078,0.9891487,0.007442676],"study_design_scores_gemma":[0.000005731134,0.00001091541,0.001600239,0.0001050942,0.000002785147,0.00005694509,0.0003584338,0.00002722873,0.0001365383,0.0007967815,0.9968885,0.00001082132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003018592,0.003943558,0.0002266683,0.1713558,0.03134372,0.0000533276,0.003344506,0.000987316,0.7857265],"genre_scores_gemma":[0.01892305,0.00151418,0.0001833743,0.04445659,0.004435678,0.00004352473,0.002393247,0.000845621,0.9272048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2335282,"threshold_uncertainty_score":0.7812296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003901866479493466,"score_gpt":0.1660289382299227,"score_spread":0.1621270717504292,"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."}}