{"id":"W7094204223","doi":"","title":"The 2024 Shenzhen Global Marine Economy Forum was grandly held in Shenzhen – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Globalization; Tourism","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":[0.0009787057,0.0006919783,0.0003896932,0.001146337,0.002231832,0.002425629,0.0008391968,0.00315035,0.0747795],"category_scores_gemma":[0.001460389,0.0003056515,0.0006150426,0.0009306303,0.0005282012,0.0005929481,0.001794232,0.001793433,0.01975176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00480582,"about_ca_system_score_gemma":0.03781638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3961772,"about_ca_topic_score_gemma":0.5486611,"domain_scores_codex":[0.9994413,0.00002445483,0.00001591549,0.00003072786,0.0003125609,0.0001749478],"domain_scores_gemma":[0.9987417,0.00004714591,0.00004050672,0.00003453705,0.0005618448,0.0005743355],"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":[0.00004778152,0.00002815985,0.0008713176,0.00004213184,0.000007740902,0.00005790299,0.00001985816,0.0001174118,0.0003429322,0.002490261,0.9862774,0.009697075],"study_design_scores_gemma":[0.00001987181,0.00001334585,0.006393013,0.00001329537,0.000005736928,0.00001011608,0.00007588806,0.0002802467,0.0002888879,0.0005231527,0.9923635,0.00001313136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02082161,0.003224679,0.002756719,0.08558847,0.02017684,0.0009146499,0.1101977,0.004069649,0.7522497],"genre_scores_gemma":[0.01288922,0.0004923774,0.001282955,0.01250709,0.0004376814,0.0001766404,0.01890311,0.0002548278,0.9530562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6038228,"threshold_uncertainty_score":0.7877423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00241927203907069,"score_gpt":0.1782608032627727,"score_spread":0.1758415312237021,"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."}}