{"id":"W7117363717","doi":"10.5281/zenodo.18059880","title":"Data for: 'Applicability of the steady-state oxygen stable isotope method for estimating metabolism in low-productivity Arctic lakes'","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Benthic zone; Stable isotope ratio; Arctic; δ18O; Ecosystem; Isotopes of oxygen; Isotope analysis; Metabolism","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0044061,0.001435093,0.00144408,0.002566497,0.001294662,0.002496221,0.00282251,0.001782983,0.4678113],"category_scores_gemma":[0.03531367,0.001090311,0.001455193,0.004552566,0.0005500655,0.002124328,0.002685383,0.001955806,0.300623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561557,"about_ca_system_score_gemma":0.004043865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036991,"about_ca_topic_score_gemma":0.01138948,"domain_scores_codex":[0.9962038,0.0003711143,0.0005376322,0.0005269983,0.00209143,0.0002690802],"domain_scores_gemma":[0.9738305,0.009932965,0.001342277,0.003106446,0.01105733,0.0007305841],"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":[0.0001785507,0.00004713675,0.001381052,0.0006291221,0.00002438155,0.00003123695,0.00005090305,0.0003569005,0.0006178764,0.0003846594,0.9863197,0.009978452],"study_design_scores_gemma":[0.0008624896,0.0001321207,0.02407691,0.0008174715,0.0000539824,0.00009754593,0.0001374509,0.001373389,0.004692531,0.002412691,0.9652258,0.0001176173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005205841,0.00001863198,0.001235716,0.0003494235,0.0002864428,0.0001706165,0.9892784,0.003258783,0.004881373],"genre_scores_gemma":[0.003619947,0.0001011144,0.006369894,0.000456468,0.00009762872,0.00124976,0.9751252,0.004197088,0.008782844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4678113,"threshold_uncertainty_score":0.7591026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08149287097554825,"score_gpt":0.3936208681902822,"score_spread":0.312127997214734,"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."}}