{"id":"W7004894896","doi":"","title":"Pearl River S & T Nova Program in Guangzhou[201806010052]","year":2019,"lang":"en","type":"other","venue":"Institutional Repository of Guangzhou Institute of Energy Research, Chinese Academy of Sciences","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pearl; Nova (rocket); Nova scotia","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":[0.0009824754,0.0006747176,0.0008084671,0.001906337,0.001908791,0.001203077,0.001313412,0.0005436816,0.3387353],"category_scores_gemma":[0.001571084,0.0004800631,0.0004533285,0.002588313,0.0005121077,0.0006758383,0.001563803,0.0006345205,0.1623958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853507,"about_ca_system_score_gemma":0.006198783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05216396,"about_ca_topic_score_gemma":0.09887359,"domain_scores_codex":[0.9995047,0.0000432407,0.00003372326,0.000138247,0.000206932,0.00007309491],"domain_scores_gemma":[0.9991849,0.0000536299,0.00005618265,0.0002482621,0.0002745588,0.0001824386],"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":[0.0001843485,0.0000443916,0.002158537,0.0002815365,0.00001735106,0.00008569878,0.00007601873,0.0003579996,0.002320595,0.008572056,0.8993576,0.08654393],"study_design_scores_gemma":[0.0000630471,0.00003341905,0.01256517,0.00003529829,0.00001568053,0.00004954829,0.00003351282,0.0006202607,0.001243128,0.001868594,0.9834554,0.00001701638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008904157,0.0009736153,0.008852415,0.001773812,0.001017231,0.000430244,0.4209782,0.01274905,0.5443213],"genre_scores_gemma":[0.0306144,0.0009955436,0.01117171,0.0004010987,0.0001756058,0.0005304246,0.3677967,0.003181482,0.5851331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6612648,"threshold_uncertainty_score":0.9432139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08203407379743985,"score_gpt":0.3579108003156124,"score_spread":0.2758767265181725,"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."}}