{"id":"W3017390062","doi":"10.1594/pangaea.896544","title":"North Atlantic seawater bottle data collected during RRS Discovery cruise DY081","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020","keywords":"Cruise; Oceanography; Seawater; Bottle; Marine research; Water bottle; Geography; Environmental science; 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":[0.0005881806,0.0009674937,0.0006156244,0.002030915,0.0006019042,0.001061108,0.001255905,0.0008825143,0.02120601],"category_scores_gemma":[0.002549224,0.0004176654,0.0005680597,0.00362852,0.0002413278,0.0006715565,0.001058041,0.0008430222,0.0289103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928498,"about_ca_system_score_gemma":0.001712286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09720857,"about_ca_topic_score_gemma":0.1727072,"domain_scores_codex":[0.9994042,0.00004671536,0.00005917287,0.0001578599,0.0002403634,0.00009165083],"domain_scores_gemma":[0.9987024,0.0001992322,0.0001529126,0.0002638874,0.0005689405,0.0001126587],"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":[0.00009791537,0.00003624801,0.006179189,0.0003232947,0.00002894356,0.00005849024,0.00007047604,0.0006174676,0.0005031276,0.0003300046,0.9859003,0.00585446],"study_design_scores_gemma":[0.0001268386,0.00002065281,0.03999595,0.0001613564,0.00002352291,0.00005371256,0.000236542,0.0006959293,0.0009002555,0.0004104657,0.9573328,0.0000418124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009416874,0.00001761817,0.00006788178,0.00003992593,0.00001428873,0.000007721828,0.9978225,0.0002064383,0.0008819467],"genre_scores_gemma":[0.001142355,0.00001990105,0.000302021,0.00001537713,0.000004421682,0.00003946268,0.9974044,0.00005779308,0.001014173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09720857,"threshold_uncertainty_score":0.1932855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258208885460915,"score_gpt":0.2160981925439373,"score_spread":0.1902773039978458,"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."}}