{"id":"W3035421170","doi":"10.1016/j.nimb.2020.03.011","title":"Proceedings of the Fourteenth International Conference on Accelerator Mass Spectrometry Ottawa, ON Canada August 14–18, 2017","year":2020,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Accelerator mass spectrometry; Mass spectrometry; Library science; Political science; Computer science; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002155124,0.0001483151,0.0001980746,0.00006466096,0.0002807535,0.000235906,0.0002033754,0.0000276957,0.0005525931],"category_scores_gemma":[0.00001166403,0.0001088363,0.00002853806,0.0003008379,0.0001222545,0.0002107687,0.0001178733,0.0004061137,0.000003163756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007029301,"about_ca_system_score_gemma":0.00007401979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006579289,"about_ca_topic_score_gemma":0.0001179159,"domain_scores_codex":[0.9988524,0.00006711906,0.0002366614,0.0003193813,0.00032392,0.0002004676],"domain_scores_gemma":[0.9993796,0.0000518622,0.0001651326,0.0001235247,0.000181731,0.00009811216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002845573,0.0003577321,0.003204258,0.00005716864,0.0001844013,5.014742e-7,0.0004050223,0.000017046,0.7197167,0.247369,0.006215545,0.02218805],"study_design_scores_gemma":[0.003312916,0.001177744,0.02872537,0.0007121646,0.00006605811,0.000007688497,0.009627845,0.003349655,0.8241432,0.02615767,0.1018217,0.000897971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656123,8.049657e-7,0.0001427916,0.0009912829,0.0003254402,0.0003262042,0.0001229469,0.000009962794,0.03246828],"genre_scores_gemma":[0.9970338,0.00001462426,0.002189741,0.0001143709,0.0004187916,0.00003482206,0.000007725047,0.00002392616,0.0001621679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212113,"threshold_uncertainty_score":0.9945961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07071770937375593,"score_gpt":0.3825274464768376,"score_spread":0.3118097371030817,"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."}}