{"id":"W7010069087","doi":"","title":"Gormley - Dr. Chris Keefer - Thursday, December 1, 2022","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Grassroots; Energy (signal processing); Nuclear energy policy; Joins","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":[0.000371065,0.0005553801,0.0002892565,0.0006455699,0.003622887,0.002873716,0.0005433065,0.001782602,0.6756963],"category_scores_gemma":[0.001501856,0.0003963664,0.0002601983,0.000586214,0.0004032389,0.001237045,0.001406717,0.001806259,0.4559697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681139,"about_ca_system_score_gemma":0.003855179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2215448,"about_ca_topic_score_gemma":0.5834838,"domain_scores_codex":[0.9995962,0.00002264928,0.000007988044,0.0000516283,0.0002044669,0.0001171425],"domain_scores_gemma":[0.998881,0.00004373736,0.0000253926,0.00003289439,0.0004709678,0.0005460467],"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":[0.000005198462,0.000003624697,0.00004830046,0.000008789893,2.291592e-7,0.00001334007,0.00001621409,0.000004064509,0.00003137948,0.0001771316,0.9946479,0.005043866],"study_design_scores_gemma":[0.000002003598,0.00000243384,0.0002703358,0.00001144314,3.494349e-7,0.00001132599,0.00006202603,0.000007012699,0.00002275962,0.00003690258,0.9995715,0.000001810095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007754721,0.001453304,0.0002656401,0.01342549,0.003902271,0.0001048385,0.003399276,0.0009578374,0.9757159],"genre_scores_gemma":[0.0005565528,0.0001884997,0.00005633182,0.0008492157,0.00006371341,0.00000640955,0.0003276492,0.00008523683,0.9978663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3243037,"threshold_uncertainty_score":0.4625799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007289220333272941,"score_gpt":0.1984706745263533,"score_spread":0.1911814541930804,"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."}}