{"id":"W6989550204","doi":"","title":"Bibliographies: Climate Data & Meteorological History.","year":2008,"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":"Climate change; Work (physics); Strengths and weaknesses; Perspective (graphical); Event (particle physics); Public interest; Global warming","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":[0.0009951608,0.001624884,0.001335058,0.02767958,0.004311338,0.005724981,0.002542535,0.001186134,0.4625318],"category_scores_gemma":[0.01036321,0.0006811045,0.000413777,0.140377,0.001149961,0.003250527,0.002997759,0.001610474,0.221664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01993082,"about_ca_system_score_gemma":0.05014386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8863148,"about_ca_topic_score_gemma":0.8847589,"domain_scores_codex":[0.9985365,0.00008078577,0.0001614487,0.0001180815,0.0008448448,0.000258425],"domain_scores_gemma":[0.9921166,0.000722229,0.0005799486,0.0004375755,0.005528446,0.0006151625],"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":[0.000004401988,0.000002248309,0.0001536561,0.0008327333,0.000002711539,0.00002024051,0.0001689405,0.00001553361,0.00002485335,0.0006918131,0.9877437,0.01033919],"study_design_scores_gemma":[0.000003323102,5.847154e-7,0.002098718,0.0006166568,0.000004321608,0.00001381097,0.0002172034,0.000005222986,0.00002535187,0.0001113335,0.9968967,0.000006645536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002957011,0.00843296,0.0001355625,0.002650922,0.0009719954,0.0001580639,0.6793928,0.0008845045,0.3070774],"genre_scores_gemma":[0.008830455,0.03992644,0.001302,0.001880221,0.0007804566,0.0006755965,0.5869274,0.001687265,0.3579902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8863148,"threshold_uncertainty_score":0.7666331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720674888808312,"score_gpt":0.2197868769897244,"score_spread":0.1925801281016413,"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."}}