{"id":"W7055920594","doi":"","title":"The Democratic Republic of China","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Democracy; Government (linguistics); Democratic 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":[0.0006409721,0.000623862,0.0004482357,0.0005954587,0.002689823,0.002865931,0.0003623413,0.0009669879,0.04631191],"category_scores_gemma":[0.0008689297,0.000204541,0.0001665691,0.001263971,0.0009525488,0.0008732994,0.001836106,0.001819989,0.01007257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003878875,"about_ca_system_score_gemma":0.01168912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04417802,"about_ca_topic_score_gemma":0.05205176,"domain_scores_codex":[0.9994341,0.00005760564,0.00002229656,0.0001105808,0.0001702918,0.0002052102],"domain_scores_gemma":[0.9997138,0.00002935704,0.00002586884,0.00005954723,0.00008548329,0.00008596875],"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":[0.00009922287,0.00003501819,0.003763021,0.0002636344,0.00002631941,0.0005329844,0.0008238619,0.0003081866,0.001448033,0.3157199,0.5117825,0.1651973],"study_design_scores_gemma":[0.000007026161,0.000007600309,0.006108777,0.00002546126,0.000002094856,0.00004167417,0.00005218515,0.00006966781,0.000124382,0.002306477,0.9912471,0.000007452155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01625477,0.007261317,0.000735389,0.01482566,0.002877753,0.0001553316,0.006752155,0.0003383062,0.9507992],"genre_scores_gemma":[0.09435061,0.003780582,0.001063449,0.00433543,0.0003833398,0.0002621522,0.002227384,0.000100586,0.8934965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9536881,"threshold_uncertainty_score":0.1549288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00712261035796306,"score_gpt":0.1855865809304552,"score_spread":0.1784639705724922,"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."}}