{"id":"W7065017585","doi":"","title":"Dec 25 2023 - More with Andrew Marquess, Newsmaker of the Year","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Expropriation; Damages; Legislation; Voting; George (robot); Supreme court; Plaintiff","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":[0.0005507008,0.0009017315,0.0004468362,0.0005869145,0.002834486,0.006901514,0.000601624,0.003605353,0.3944554],"category_scores_gemma":[0.002877251,0.0003163696,0.0003988319,0.0006486999,0.0004217437,0.002386016,0.001870109,0.004697119,0.245028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204535,"about_ca_system_score_gemma":0.001241482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01803161,"about_ca_topic_score_gemma":0.08233477,"domain_scores_codex":[0.9995044,0.00003694052,0.00002009705,0.00006416048,0.0002163437,0.0001579573],"domain_scores_gemma":[0.9988802,0.00007120424,0.00007041053,0.00006082585,0.0004916959,0.0004257312],"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":[0.00002797404,0.000009921146,0.0001497695,0.00001745555,0.000001074338,0.00008466269,0.00002453363,0.000007540357,0.00004640058,0.000459068,0.9956298,0.003541793],"study_design_scores_gemma":[0.000005625214,0.00001598351,0.0008409409,0.00003069294,0.000001303635,0.00003214599,0.0001130218,0.00002026893,0.00005016545,0.00008548703,0.9987988,0.000005399114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002606737,0.003398335,0.000327741,0.03630334,0.04796384,0.0001781257,0.0077512,0.001557371,0.8999134],"genre_scores_gemma":[0.004583871,0.0005624852,0.0000887176,0.007735047,0.002337024,0.00003665133,0.001736338,0.0002102712,0.9827096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6055446,"threshold_uncertainty_score":0.8637359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00508976701205806,"score_gpt":0.1939783073200554,"score_spread":0.1888885403079973,"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."}}