{"id":"W4391045585","doi":"10.5194/essd-16-471-2024","title":"Oceanographic dataset collected during the 2021 scientific expedition of the Canadian Coast Guard Ship <i>Amundsen</i>","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Foundation for Innovation; Université Laval","keywords":"Oceanography; Arctic; Transect; Coast guard; The arctic; Environmental science; Water column; Research vessel; Geology; Seabed","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002656272,0.0001460663,0.0001440417,0.000272031,0.003155774,0.00106437,0.002756089,0.00004770601,0.0003902441],"category_scores_gemma":[0.0001572153,0.00008235288,0.00004464379,0.003583572,0.001841569,0.001055677,0.0002180429,0.0002494065,0.0001530841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002557795,"about_ca_system_score_gemma":0.001786058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07836433,"about_ca_topic_score_gemma":0.666691,"domain_scores_codex":[0.9972939,0.0001516252,0.0003281683,0.0006384959,0.001036938,0.0005508687],"domain_scores_gemma":[0.9976963,0.0001545787,0.0001049411,0.001734912,0.00009830781,0.0002109015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007140825,0.0000612305,0.79842,0.00198099,0.0001808336,0.0003234494,0.007827351,0.003074047,0.001658177,0.0041398,0.1737425,0.008520264],"study_design_scores_gemma":[0.0002592719,0.00004896619,0.6630348,0.0009418131,0.00009689009,0.000517375,0.009037308,0.2651625,0.0001922511,0.00007432557,0.06014406,0.00049046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282508,0.0003769369,0.00003824416,0.0009824035,0.005200807,0.0006153935,0.06257402,0.00005211142,0.001909299],"genre_scores_gemma":[0.9949731,0.00001052254,0.00007351092,0.00005790001,0.000159134,0.000001189245,0.004488224,0.000003772319,0.0002326053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5883267,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971480427749142,"score_gpt":0.2186930347047896,"score_spread":0.1989782304272982,"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."}}