{"id":"W7083724331","doi":"10.11922/11-6035.csd.2024.0185.zh","title":"A dataset of CTD temperature and salinity observations from Chinese Arctic scientific expeditions (1999&amp;ndash;2021)","year":2025,"lang":"en","type":"article","venue":"China Scientific Data","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CTD; Arctic; Salinity; The arctic; Sea surface temperature; Raw data; Sea ice; Climate change","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":[0.0005525908,0.001503604,0.0009206741,0.003795775,0.0007313841,0.0008764084,0.001692809,0.0009585092,0.009097095],"category_scores_gemma":[0.001160898,0.0004425225,0.0008025599,0.008237064,0.0003723312,0.0006163665,0.000860646,0.0007209679,0.01033968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666622,"about_ca_system_score_gemma":0.00364825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1299993,"about_ca_topic_score_gemma":0.1736112,"domain_scores_codex":[0.9993941,0.00004105014,0.00007878955,0.0001678799,0.0002165629,0.0001016857],"domain_scores_gemma":[0.9988704,0.00008388067,0.0001445677,0.000199797,0.0005572388,0.0001440438],"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":[0.0005807522,0.0003892675,0.08637331,0.00197175,0.00029747,0.0008576035,0.0003657852,0.01292004,0.005687362,0.001178919,0.8384706,0.05090722],"study_design_scores_gemma":[0.0002626089,0.0001089721,0.3627796,0.0004126141,0.0001455402,0.0002514117,0.0008639625,0.0127368,0.004385275,0.0006465762,0.617214,0.0001925993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008990539,0.0001055345,0.0003597812,0.0000494569,0.00006853301,0.00005190409,0.9888275,0.0003121679,0.001234652],"genre_scores_gemma":[0.007073682,0.00006773886,0.000809266,0.00001674419,0.00001291912,0.00009944421,0.9912675,0.00001705128,0.0006357396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1299993,"threshold_uncertainty_score":0.2584853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984700099385458,"score_gpt":0.2942993219460248,"score_spread":0.2444523209521702,"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."}}