{"id":"W4229756027","doi":"10.29222/ipng.2078-5712.2021-32.art7","title":"Total numbers matter. Landscape of China’s scientific publications in 2018-2020 on the energy issue","year":2021,"lang":"en","type":"article","venue":"Actual Problems of Oil and Gas","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Environmental engineering science; Subject (documents); Library science; Political science; Engineering; Regional science; Earth science; Geography; Computer science; Law; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017133,0.00008563165,0.000106355,0.00002491224,0.00008054028,0.00002790166,0.000128349,0.00004121922,0.004108926],"category_scores_gemma":[0.00003186013,0.00005872162,0.0000295007,0.0002338955,0.0002565481,0.0001570671,0.0001297966,0.00006995882,0.00006994102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001316239,"about_ca_system_score_gemma":0.00000975953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006013945,"about_ca_topic_score_gemma":0.0003768725,"domain_scores_codex":[0.9992425,0.00003768779,0.000168292,0.0002017368,0.000191221,0.0001585355],"domain_scores_gemma":[0.9995742,0.00005209809,0.00006985137,0.0002436579,0.00000342955,0.00005675771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001284741,0.003128566,0.2330139,0.0002522793,0.0001629608,0.00002112137,0.01486699,0.09314062,0.2385184,0.00979174,0.2866455,0.1203295],"study_design_scores_gemma":[0.0008205406,0.0002064142,0.8639151,0.0001424602,0.00002676146,0.0000421502,0.0006294618,0.0005032618,0.04194423,0.003788729,0.08759819,0.0003827266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283731,0.00009314247,0.000003375965,0.005737138,0.00005445256,0.00001507785,0.000008603749,0.000004492346,0.06571063],"genre_scores_gemma":[0.9848059,0.0001954601,0.00005660152,0.0001997716,0.00001132675,0.000007183345,0.00001905588,0.000005765647,0.01469894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6309012,"threshold_uncertainty_score":0.9968014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00905089394395759,"score_gpt":0.1978897717773286,"score_spread":0.188838877833371,"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."}}