{"id":"W4417423520","doi":"10.1038/s41597-025-06375-w","title":"A global dataset of helium isotopic data in tectonically and hydrothermally active geological environments","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Chinese Academy of Sciences Key Project; National Natural Science Foundation of China","keywords":"Helium; Hydrothermal circulation; Mantle (geology); Isotope; Resource (disambiguation); Range (aeronautics)","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":[0.001057824,0.0008512123,0.001067522,0.03169205,0.0005522549,0.00132659,0.0007293584,0.0008950137,0.008861918],"category_scores_gemma":[0.005243593,0.0003086587,0.000681053,0.04016953,0.0004961719,0.001118116,0.001670644,0.0006045322,0.004068092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007116277,"about_ca_system_score_gemma":0.003034482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008651315,"about_ca_topic_score_gemma":0.01276918,"domain_scores_codex":[0.998941,0.00008958189,0.0003368175,0.0002968779,0.0002514126,0.0000844071],"domain_scores_gemma":[0.9953211,0.001440192,0.001316325,0.0004734442,0.001183444,0.0002654599],"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":[0.001106598,0.0002568235,0.2561116,0.05835468,0.001831838,0.003496793,0.003028469,0.004352888,0.04441431,0.01443792,0.3074418,0.3051663],"study_design_scores_gemma":[0.00005231194,0.00004668182,0.167398,0.002024078,0.0004214495,0.0006043771,0.0007264941,0.0002471374,0.005407869,0.001822469,0.8211824,0.00006671315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0184274,0.005854724,0.001207179,0.0001460527,0.00006192138,0.00003934454,0.9692377,0.000174293,0.004851346],"genre_scores_gemma":[0.0353148,0.006946274,0.00522767,0.0001326787,0.00009248221,0.0002096546,0.9502019,0.00009622362,0.001778371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03169205,"threshold_uncertainty_score":0.0296461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555624505296876,"score_gpt":0.2548514132141965,"score_spread":0.2292951681612278,"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."}}