{"id":"W4232667825","doi":"10.1515/iupac.83.0399","title":"Isotopes","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Process (computing); Multidisciplinary approach; Field (mathematics); Computer science; Data science; Management science; Chemical nomenclature; Engineering; Sociology; Chemistry; Linguistics; Biology; Mathematics","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":[0.001432355,0.001761115,0.001275025,0.003721364,0.0008662121,0.002950522,0.002821209,0.001477235,0.06284473],"category_scores_gemma":[0.00727668,0.0007450525,0.001349711,0.006925459,0.0005105832,0.00279134,0.002250893,0.002410513,0.1242443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861244,"about_ca_system_score_gemma":0.002172141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837631,"about_ca_topic_score_gemma":0.03564176,"domain_scores_codex":[0.998442,0.0002578115,0.0002425141,0.0004110727,0.0004866502,0.0001598744],"domain_scores_gemma":[0.997416,0.0005146373,0.0003338391,0.0007400402,0.0008164964,0.0001789376],"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":[0.00007025057,0.00001861925,0.001442218,0.0008113558,0.00002967538,0.00002344967,0.00004850765,0.0003017775,0.0002021023,0.002299955,0.9887477,0.006004334],"study_design_scores_gemma":[0.00005754738,0.000005615168,0.002199179,0.0001961144,0.00001074019,0.00003434833,0.00005076679,0.0001645876,0.0002604524,0.00173653,0.995267,0.00001707472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001550385,0.0001011655,0.0002585798,0.00006726518,0.00003384381,0.00001397865,0.9964806,0.000632086,0.002257375],"genre_scores_gemma":[0.0003795104,0.00009458173,0.0006892671,0.00005926709,0.000007544435,0.00007880134,0.9973175,0.0001708952,0.001202577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06284473,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008419703622303706,"score_gpt":0.3538168914926366,"score_spread":0.3453971878703329,"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."}}