{"id":"W6944039713","doi":"10.17882/54517","title":"SURATLANT: a surface dataset in the central part of the North Atlantic subpolar gyre","year":2025,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme","keywords":"Alkalinity; Transect; Ocean gyre; Stable isotope ratio; Sea surface temperature; Data set; Line (geometry)","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":[0.0003125333,0.0005961154,0.0004860114,0.001031859,0.0003706681,0.001100447,0.0007755691,0.0006364833,0.01152889],"category_scores_gemma":[0.001061737,0.0002306993,0.0005393349,0.002144556,0.000165309,0.0005365931,0.0008550444,0.0005767409,0.009927767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000743627,"about_ca_system_score_gemma":0.001061269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1226749,"about_ca_topic_score_gemma":0.1717958,"domain_scores_codex":[0.9997224,0.00003760456,0.00003050219,0.0001022843,0.00006333367,0.00004390616],"domain_scores_gemma":[0.9994272,0.00006576116,0.00006902741,0.0001226542,0.0002377845,0.00007762929],"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":[0.0002624081,0.00008794307,0.0463224,0.0005931385,0.0001874404,0.0001750462,0.0003370005,0.002325025,0.001701309,0.0009461676,0.9301389,0.0169232],"study_design_scores_gemma":[0.0002874538,0.00004099724,0.2111748,0.0002354955,0.00006180111,0.00009999982,0.0007347103,0.005117252,0.0009426443,0.0008427919,0.7803965,0.00006552783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01066813,0.0001559749,0.0001878144,0.0001008222,0.00004690686,0.00001787556,0.9866251,0.0006025969,0.001594759],"genre_scores_gemma":[0.01014335,0.00006342119,0.0006651265,0.00004432828,0.00001616418,0.00005592387,0.9880424,0.0000927969,0.0008765694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1226749,"threshold_uncertainty_score":0.2439218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016050116198652,"score_gpt":0.2556263493073703,"score_spread":0.2395762331087183,"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."}}