{"id":"W6948428383","doi":"10.5061/dryad.n8pk0p2vf","title":"Data from: Meroplankton diversity, seasonality and life-history traits across the Barents Sea Polar Front revealed by high-throughput DNA barcoding","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Abundance (ecology); DNA barcoding; Polar front; Plankton; Taxon; Benthic zone; Relative species abundance; Biodiversity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002702322,0.0002603351,0.0001948516,0.001495707,0.0004049116,0.0006006477,0.0001687813,0.0002023037,0.001874582],"category_scores_gemma":[0.0006020708,0.0001249337,0.0002486079,0.001839548,0.0001705191,0.000267416,0.0006863375,0.0001935351,0.0008489253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568722,"about_ca_system_score_gemma":0.000269619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246985,"about_ca_topic_score_gemma":0.03334353,"domain_scores_codex":[0.9997252,0.00002094958,0.00002944379,0.00008235261,0.0001017756,0.00004032141],"domain_scores_gemma":[0.9992748,0.00008504075,0.000305177,0.00005139069,0.0002128996,0.00007075978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002382486,0.0000241427,0.9315707,0.0001726638,0.00007263829,0.0002158388,0.001189376,0.0001906565,0.03317366,0.00005341393,0.001371616,0.03172706],"study_design_scores_gemma":[0.000002008588,0.00001389918,0.9969747,0.00001339665,0.00001052436,0.00003685845,0.0002705755,0.0001290519,0.0007855479,0.00001448999,0.001744715,0.000004152408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9775212,0.0003833403,0.0007889824,0.00005167795,0.000018845,0.00002657138,0.01851863,0.00004228424,0.00264843],"genre_scores_gemma":[0.9670249,0.0003833545,0.002518099,0.0000674536,0.00002786051,0.0001016726,0.02804492,0.00002304145,0.001808726],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01246985,"threshold_uncertainty_score":0.02479458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120482845952323,"score_gpt":0.3082377600371302,"score_spread":0.1961894754418979,"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."}}