{"id":"W6925042496","doi":"10.1594/pangaea.890362","title":"Physical oceanography during Meteor cruise M82/1","year":2018,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Meteor (satellite); Cruise; Physical oceanography; Indian ocean","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":[0.0005063581,0.001708181,0.000982211,0.003629716,0.0004756151,0.001290483,0.001313429,0.001254802,0.02146958],"category_scores_gemma":[0.002623406,0.0005259088,0.001025392,0.006405202,0.0003357879,0.0006945229,0.001429489,0.001223758,0.02986718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038631,"about_ca_system_score_gemma":0.001587404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08559712,"about_ca_topic_score_gemma":0.1360403,"domain_scores_codex":[0.9995048,0.00004680453,0.00005865986,0.0001478584,0.0001383124,0.0001035772],"domain_scores_gemma":[0.9987553,0.0001675145,0.0002089219,0.0002631417,0.0004137404,0.0001912732],"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":[0.0001315422,0.00004341479,0.009622682,0.0004594702,0.00008535766,0.00005744114,0.00005906038,0.0008051612,0.0002042845,0.0002266226,0.9844812,0.003823731],"study_design_scores_gemma":[0.0004639881,0.00004882044,0.1555437,0.0004362063,0.00009076275,0.0001738595,0.0003213037,0.001360615,0.0005428991,0.0005313489,0.8404213,0.00006518582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00103285,0.00004666969,0.00002672394,0.00003432401,0.00002490408,0.000006437614,0.9983358,0.0001195929,0.0003726824],"genre_scores_gemma":[0.001318324,0.00003539072,0.00006788985,0.00001045483,0.000008719154,0.00002625181,0.9980049,0.0000216547,0.0005064775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08559712,"threshold_uncertainty_score":0.1701978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08024749088813198,"score_gpt":0.3120887833261614,"score_spread":0.2318412924380294,"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."}}