{"id":"W2754748514","doi":"10.1016/j.gca.2017.08.039","title":"Strontium isotope fractionation during strontianite (SrCO3) dissolution, precipitation and at equilibrium","year":2017,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equilibrium fractionation; Dissolution; Chemistry; Isotope fractionation; Fractionation; Precipitation; Strontium; Analytical Chemistry (journal); Chromatography; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002733767,0.0002915963,0.0002615661,0.00008850313,0.0011378,0.0005690751,0.0004227501,0.0001462462,0.001118404],"category_scores_gemma":[0.0001533284,0.0002823397,0.00009020209,0.00005276619,0.0001949508,0.001473349,0.0001584329,0.0002800062,0.000122972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315833,"about_ca_system_score_gemma":0.00004962528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006094868,"about_ca_topic_score_gemma":0.001654991,"domain_scores_codex":[0.9980816,0.00008547908,0.0003443125,0.0005980582,0.000364637,0.0005259563],"domain_scores_gemma":[0.9986156,0.00006648951,0.0003401893,0.000663875,0.00009710943,0.0002167218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008456613,0.0001558997,0.7697597,0.0002359218,0.0002063169,0.00001891324,0.001252909,0.00049174,0.212277,0.0002033865,0.01087572,0.003676815],"study_design_scores_gemma":[0.0007311886,0.00006274167,0.9827936,0.00003722565,0.00004105347,0.00005699147,0.00008659648,0.002967731,0.008366834,0.001137599,0.00334502,0.0003734134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853258,0.0001345407,0.00007864988,0.002141967,0.0004746258,0.0003023097,0.0001954366,0.00009653274,0.0112502],"genre_scores_gemma":[0.9960676,0.000156939,0.000567353,0.00009303078,0.0002130331,0.000006766476,0.0008098802,0.00001315116,0.002072212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2130339,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145422625924011,"score_gpt":0.2289080819362837,"score_spread":0.2174538556770436,"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."}}