{"id":"W7106319092","doi":"10.1594/pangaea.986892","title":"Seawater carbonate chemistry and environmental DNA and RNA Shedding and Persistence","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Seawater; Carbonate; Mesocosm; Ocean acidification; Transfer RNA; Data set; Comparability; Persistence (discontinuity); Genetic algorithm","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":[0.00115602,0.0009810938,0.0009063926,0.001515661,0.0009064215,0.001470593,0.001098613,0.0009709775,0.02308167],"category_scores_gemma":[0.003244109,0.0004680589,0.0008232869,0.002968954,0.0005203809,0.000658196,0.001339203,0.001192797,0.01710022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006154302,"about_ca_system_score_gemma":0.0009398395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008250311,"about_ca_topic_score_gemma":0.01614547,"domain_scores_codex":[0.9990929,0.00009421264,0.00008739193,0.0004461485,0.0001488763,0.0001304346],"domain_scores_gemma":[0.9984964,0.0004270766,0.0002322953,0.0004715913,0.0002804564,0.00009210147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001762564,0.000334211,0.2670727,0.005968066,0.000851482,0.0004188426,0.001000225,0.007325894,0.02846276,0.003971536,0.6107562,0.07207543],"study_design_scores_gemma":[0.0003530581,0.0001566228,0.3026136,0.0003956247,0.0002472667,0.0003295165,0.0004169442,0.002368066,0.007251685,0.003452958,0.6822754,0.0001393285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01292303,0.0002334396,0.0007260379,0.00007239853,0.00003803052,0.00003257431,0.9841743,0.0003737843,0.001426436],"genre_scores_gemma":[0.01426091,0.0001036133,0.002653796,0.00006821363,0.0000143633,0.0003148492,0.9812016,0.000165141,0.001217466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02308167,"threshold_uncertainty_score":0.07721585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590541849187965,"score_gpt":0.2534971649761384,"score_spread":0.2375917464842587,"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."}}