{"id":"W7104470482","doi":"10.5281/zenodo.17559434","title":"Nares Strait - Hydrographic, Nutrient and Biogeochemical tracer Data (2006-2024)","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biogeochemical cycle; TRACER; Nutrient; Salinity; Principal component analysis; Water mass; Biogeochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008041981,0.001361884,0.0009879053,0.002484326,0.0005024684,0.001338259,0.001824768,0.001321488,0.02269347],"category_scores_gemma":[0.002782126,0.0005125615,0.0007619308,0.004385149,0.000312527,0.0007106551,0.001460719,0.001114081,0.0297659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469486,"about_ca_system_score_gemma":0.002654631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09181853,"about_ca_topic_score_gemma":0.1211133,"domain_scores_codex":[0.999471,0.00006809257,0.00006011079,0.0001508963,0.0001660478,0.00008374866],"domain_scores_gemma":[0.9988727,0.0001636151,0.0002118309,0.0002285613,0.0003927348,0.0001305653],"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":[0.0001118594,0.0000434207,0.004990323,0.0007436232,0.00009355307,0.00006309734,0.00007560359,0.002077019,0.0003650728,0.0007302383,0.9862788,0.00442744],"study_design_scores_gemma":[0.0001882289,0.0000238146,0.02772042,0.0002893329,0.00004214958,0.00005824402,0.0001931548,0.001716747,0.0006268062,0.0008506864,0.9682453,0.00004520933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004679003,0.00002898068,0.0000305036,0.00003183021,0.000014163,0.000004509367,0.9990917,0.0000907536,0.0002396733],"genre_scores_gemma":[0.0008813329,0.00002174344,0.0001799171,0.00001168866,0.000003720347,0.00002734982,0.9984145,0.00002489672,0.0004348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09181853,"threshold_uncertainty_score":0.1825682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093527081665691,"score_gpt":0.2764665733661605,"score_spread":0.2355313025495036,"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."}}