{"id":"W7065710381","doi":"","title":"Ep #43 - Bad Takes All Around","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Politics; Cover (algebra); Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.001186661,0.001031361,0.0008346535,0.0015477,0.003584561,0.0105997,0.001316065,0.003421629,0.8385994],"category_scores_gemma":[0.006019872,0.000587559,0.0007628215,0.001265843,0.001080639,0.004512602,0.004021674,0.003374511,0.8614208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002940374,"about_ca_system_score_gemma":0.003854638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115663,"about_ca_topic_score_gemma":0.04847327,"domain_scores_codex":[0.9989889,0.00008009146,0.000041161,0.0001223218,0.0005334628,0.000233938],"domain_scores_gemma":[0.9961956,0.0003010419,0.0000748362,0.0005071923,0.001959554,0.0009618304],"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":[0.000008535032,0.000003995992,0.00002608867,0.00002401749,7.059556e-7,0.00001666193,0.00001640666,0.000008954802,0.00004284484,0.0009401424,0.9877796,0.01113199],"study_design_scores_gemma":[0.000002525043,0.000002739247,0.0001379277,0.0000355153,8.474549e-7,0.00001979044,0.00005092652,0.00001036377,0.00005321243,0.0003837782,0.9992979,0.00000438352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001867924,0.0006878637,0.0005951339,0.005684437,0.007304901,0.00008700107,0.004114646,0.003769635,0.9775696],"genre_scores_gemma":[0.0007483557,0.0002593957,0.0001604843,0.001737091,0.0002643754,0.00002093412,0.0007751108,0.0009774744,0.9950567],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1614006,"threshold_uncertainty_score":0.2302184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006332845936044256,"score_gpt":0.1979168826254318,"score_spread":0.1915840366893875,"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."}}