{"id":"W4253656916","doi":"10.1515/iupac.85.0657","title":"Photon Impact","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Accelerator mass spectrometry; Analytical Chemistry (journal); Political science; Environmental chemistry; Chromatography; Law; Linguistics","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":[0.001265263,0.001319694,0.001495843,0.003775448,0.001352976,0.005510541,0.002159638,0.001633877,0.2960537],"category_scores_gemma":[0.01223234,0.0005452702,0.001920801,0.008927246,0.0003559277,0.003289373,0.00289341,0.002153888,0.2912621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702462,"about_ca_system_score_gemma":0.003608203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380938,"about_ca_topic_score_gemma":0.02745361,"domain_scores_codex":[0.9979406,0.000268143,0.0002236181,0.0004916928,0.0008358976,0.0002401128],"domain_scores_gemma":[0.9952015,0.001089943,0.0004183226,0.001096979,0.001911568,0.0002816352],"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":[0.0000667944,0.000008900138,0.000673945,0.0006292897,0.00002443339,0.00001591437,0.00001466168,0.0001317151,0.00004565611,0.001081567,0.9854494,0.01185773],"study_design_scores_gemma":[0.00003184338,0.000004160554,0.001149266,0.0002895053,0.00001431948,0.00002835157,0.00003008104,0.00005658594,0.00009815909,0.001163557,0.997124,0.00001012754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000120191,0.0003949778,0.0001888283,0.0003745,0.0001534401,0.00002628036,0.9831468,0.0007489024,0.01484608],"genre_scores_gemma":[0.001163531,0.0007755866,0.0006671456,0.0004534139,0.00007811063,0.0001097776,0.9845882,0.0004651723,0.01169898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2960537,"threshold_uncertainty_score":0.9903984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438930172964907,"score_gpt":0.4458020590570512,"score_spread":0.4314127573274021,"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."}}