{"id":"W6891523172","doi":"10.4224/crm.2019.half-1","title":"HALF-1: Isotopic Certified Reference Material of natural hafnium","year":2019,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Hafnium; Isotope; Natural abundance; Certified reference materials; Atomic mass; Isotope analysis","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":[0.002390656,0.0009258956,0.0008035942,0.004894626,0.001215672,0.001380954,0.003604112,0.00133201,0.0689747],"category_scores_gemma":[0.003664937,0.0004816823,0.0004668133,0.003070288,0.0005530877,0.001425855,0.001134476,0.0007038765,0.04552139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479221,"about_ca_system_score_gemma":0.002140484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890172,"about_ca_topic_score_gemma":0.0325661,"domain_scores_codex":[0.9980991,0.000123247,0.0000852577,0.000318266,0.001270384,0.0001036989],"domain_scores_gemma":[0.9979423,0.0001525116,0.0001048661,0.0004454983,0.001275328,0.00007957563],"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":[0.001252025,0.0002512538,0.007251006,0.001601995,0.00007541874,0.0004662969,0.0003414774,0.001600868,0.1376208,0.0224091,0.5043828,0.322747],"study_design_scores_gemma":[0.00005571137,0.0001182275,0.00636707,0.0002072018,0.00003528908,0.000407338,0.00008383526,0.001163351,0.06140234,0.003042187,0.9270617,0.0000557458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04429492,0.003774909,0.1006265,0.0008062094,0.001573749,0.001171938,0.4388612,0.01018698,0.3987035],"genre_scores_gemma":[0.09954428,0.00423612,0.1188907,0.0007464099,0.0002651091,0.001324281,0.4955286,0.005081178,0.2743833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0689747,"threshold_uncertainty_score":0.2307433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276481320404659,"score_gpt":0.2256711363534489,"score_spread":0.2129063231494023,"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."}}