{"id":"W7128671781","doi":"","title":"Golden Dragon","year":2015,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fountain; Golden hour (medicine); China","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":[0.0001778404,0.0008730353,0.0005908245,0.001170644,0.001612049,0.001965597,0.00069806,0.0006847969,0.7872415],"category_scores_gemma":[0.0005723987,0.0003936857,0.0004368559,0.0007288936,0.000227439,0.001050464,0.00197202,0.001102724,0.5694684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368046,"about_ca_system_score_gemma":0.001195778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009059,"about_ca_topic_score_gemma":0.1275051,"domain_scores_codex":[0.9998556,0.00001030891,0.000004575845,0.00002440778,0.00006747531,0.00003766302],"domain_scores_gemma":[0.9995184,0.00002326148,0.00001163177,0.00002777791,0.0001553301,0.0002634626],"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":[0.00005614276,0.00004928704,0.0001501586,0.00005957093,0.000002222146,0.00004416006,0.00003232298,0.00001159826,0.0002876787,0.0002860466,0.9507941,0.04822676],"study_design_scores_gemma":[0.00001523202,0.00002455274,0.002393853,0.00009390645,0.000003682418,0.0001014315,0.00007490625,0.00003221241,0.0001314921,0.0002124677,0.9969082,0.000008007246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002079374,0.001458105,0.0003464718,0.000710701,0.0008901,0.00009748009,0.004454942,0.001510917,0.9884518],"genre_scores_gemma":[0.002426709,0.0006504338,0.0003563714,0.0003053157,0.0001080618,0.00002947553,0.001681178,0.0003534437,0.994089],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2127585,"threshold_uncertainty_score":0.3034741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08417920588689749,"score_gpt":0.3550206849718482,"score_spread":0.2708414790849508,"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."}}