{"id":"W7070564281","doi":"","title":"Pearl River S & T Nova Program of Guangzhou, China[201610010110]","year":2018,"lang":"en","type":"other","venue":"Institutional Repository of Guangzhou Institute of Energy Research, Chinese Academy of Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006652498,0.0007770357,0.0006954966,0.001892149,0.00161113,0.001059757,0.001031342,0.0004406491,0.2427437],"category_scores_gemma":[0.001392044,0.0004494977,0.0003586174,0.003321501,0.0004411663,0.0006252707,0.001118908,0.000556162,0.08449795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594149,"about_ca_system_score_gemma":0.009659167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09246492,"about_ca_topic_score_gemma":0.1312037,"domain_scores_codex":[0.9996008,0.00003208172,0.00002330519,0.0001111457,0.0001702849,0.00006228244],"domain_scores_gemma":[0.9993452,0.00004444555,0.00004109141,0.0001715323,0.0002820935,0.0001155442],"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":[0.0001867978,0.00007035863,0.004946792,0.0003532454,0.00002466409,0.0000895577,0.0001109564,0.0006438098,0.001839975,0.01286307,0.8744324,0.1044383],"study_design_scores_gemma":[0.00007240087,0.00003623852,0.01979039,0.00003256175,0.00002032019,0.00004507355,0.00004366062,0.001217363,0.001054031,0.001891459,0.9757817,0.00001486995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01227612,0.0009749809,0.008720117,0.00230086,0.0006380521,0.0005054286,0.4571568,0.008641395,0.5087862],"genre_scores_gemma":[0.04387358,0.001129632,0.00958265,0.0003157207,0.0001213682,0.0005556715,0.3081329,0.001667786,0.6346207],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2427437,"threshold_uncertainty_score":0.8120587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487004300195384,"score_gpt":0.3496321262536333,"score_spread":0.3047620832516795,"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."}}