{"id":"W7056604582","doi":"","title":"[Episode 0638] [The Great Reset] A Letter from a Viewer","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Space (punctuation); Social media; Bit (key); Join (topology); Content (measure theory)","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":[],"category_scores_codex":[0.0006730882,0.0006866202,0.0003377825,0.0004035879,0.008809535,0.00550702,0.0009000855,0.00329577,0.2502188],"category_scores_gemma":[0.004076258,0.0004170575,0.0002983786,0.0006867436,0.001065951,0.003657875,0.00357406,0.006478815,0.07882497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994604,"about_ca_system_score_gemma":0.002421287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05014172,"about_ca_topic_score_gemma":0.1282316,"domain_scores_codex":[0.9992929,0.0001091025,0.00001446195,0.0000786247,0.0002322052,0.0002728442],"domain_scores_gemma":[0.9991803,0.00006631897,0.00003338925,0.00005941166,0.0002866041,0.0003740847],"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":[0.000006965322,0.000003323906,0.00003258626,0.000009196953,3.342739e-7,0.00006760599,0.0006880485,0.000002342423,0.00003844007,0.0009591665,0.9957656,0.002426444],"study_design_scores_gemma":[0.000001717727,0.000003255939,0.0002149417,0.00001977012,3.316427e-7,0.00002819857,0.001076425,0.000004364172,0.00002511225,0.00011211,0.9985105,0.000003184986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003732799,0.001486506,0.0005173495,0.05408309,0.0185424,0.000285756,0.002815133,0.000997727,0.9175394],"genre_scores_gemma":[0.01682904,0.0006210406,0.0002381063,0.01992658,0.002153979,0.000157353,0.001195404,0.0007750773,0.9581034],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7497813,"threshold_uncertainty_score":0.8370652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006026854255521782,"score_gpt":0.1778757563570081,"score_spread":0.1718489021014863,"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."}}