{"id":"W7043793215","doi":"","title":"Ukraine, NDP MPP, weather preparedness, gas prices and prom planning","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":"Miller; Preparedness; Prom; Energy (signal processing)","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":[0.000283193,0.0001633712,0.0001874924,0.0006326161,0.003878882,0.005079596,0.0005180135,0.001309438,0.1497437],"category_scores_gemma":[0.001437067,0.0001912224,0.000139143,0.001978279,0.0009177716,0.002211273,0.002044871,0.001741366,0.01843002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005436959,"about_ca_system_score_gemma":0.004588679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.214382,"about_ca_topic_score_gemma":0.323096,"domain_scores_codex":[0.9997745,0.00004316171,0.000009323717,0.00002138499,0.00008174009,0.00006985756],"domain_scores_gemma":[0.9994612,0.0001072832,0.00006701424,0.00002389591,0.0001151817,0.0002254499],"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":[0.00002485312,0.0000449045,0.003198017,0.0001866049,0.000004866755,0.0004407797,0.002065516,0.0002183015,0.00008073496,0.02889932,0.9002705,0.06456564],"study_design_scores_gemma":[0.000001778425,0.000004439697,0.006258819,0.00009993192,0.000002163835,0.0001170613,0.004742262,0.00004779437,0.00006830446,0.001405247,0.9872457,0.000006478859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008166302,0.008564711,0.0002312644,0.02819363,0.001000839,0.00001662956,0.001503653,0.0002240329,0.952099],"genre_scores_gemma":[0.08242856,0.008259566,0.0002462192,0.003961779,0.0002945566,0.00001668566,0.0007543481,0.0001829854,0.9038553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8502563,"threshold_uncertainty_score":0.5009426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007079639683269204,"score_gpt":0.1995578570376598,"score_spread":0.1924782173543906,"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."}}