{"id":"W3005523188","doi":"","title":"Can the South China Sea tell us anything about Canada Basin","year":2016,"lang":"en","type":"article","venue":"EGUGA","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Geography; Oceanography; Geology; Archaeology","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":[0.0006839043,0.0003874806,0.0003690963,0.001244992,0.003809109,0.003997543,0.0006216378,0.00117928,0.01210663],"category_scores_gemma":[0.004251624,0.0001729264,0.0003723417,0.002564657,0.003568911,0.004069952,0.001244027,0.001900506,0.0009975515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02014954,"about_ca_system_score_gemma":0.04786956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749426,"about_ca_topic_score_gemma":0.987862,"domain_scores_codex":[0.9996339,0.00005059809,0.00001259031,0.00003977057,0.00009425251,0.0001688734],"domain_scores_gemma":[0.997667,0.0002602407,0.0001591725,0.0001107797,0.001319401,0.0004835094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006590064,0.00004958345,0.2739263,0.001081657,0.0006122844,0.001030683,0.009824258,0.002933667,0.001365328,0.1290466,0.4311642,0.1483064],"study_design_scores_gemma":[0.00004588525,0.00003375229,0.1765928,0.001496127,0.0004983552,0.0001656181,0.05147915,0.001219021,0.0009843359,0.06346978,0.7038333,0.0001818646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2649946,0.03631921,0.0008553291,0.3355424,0.003383983,0.00004476209,0.01110591,0.0001316682,0.3476222],"genre_scores_gemma":[0.9038845,0.01950414,0.0005854761,0.02448478,0.0004425023,0.00002148198,0.001591349,0.00008144511,0.04940425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02505738,"threshold_uncertainty_score":0.1461958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007590917207156375,"score_gpt":0.1583114247567157,"score_spread":0.1507205075495593,"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."}}