{"id":"W1485821723","doi":"10.1023/a:1010667722828","title":"A set-up, calibration, acquisition and analysis program (SCAAP) for gamma-ray spectroscopy","year":2001,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence; Royal Military College of Canada","funders":"","keywords":"Gamma spectroscopy; Calibration; Computer science; Neutron activation analysis; Spectroscopy; Radiochemistry; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103704,0.0001155289,0.0002761133,0.00003829661,0.0001228628,0.0001250561,0.00008247104,0.00004134484,0.0003481317],"category_scores_gemma":[0.000005248238,0.00009769787,0.0002021572,0.0002310244,0.00008885461,0.0001224225,0.00002178533,0.0001365792,0.000001297942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001460258,"about_ca_system_score_gemma":0.00001949276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004540389,"about_ca_topic_score_gemma":1.286395e-7,"domain_scores_codex":[0.9992756,0.000008884743,0.0002773511,0.0001583845,0.0001218599,0.0001578989],"domain_scores_gemma":[0.9993852,0.00005103296,0.0001735044,0.0001110548,0.00009332,0.000185911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002648177,0.003735091,0.1204524,0.0006938885,0.01793868,0.00006043179,0.004212156,0.0007199512,0.5055292,0.1423669,0.04972754,0.1519155],"study_design_scores_gemma":[0.01095153,0.001543544,0.02699632,0.0002173707,0.01451487,0.0003193843,0.006479248,0.4836036,0.02642088,0.09490925,0.3315353,0.00250877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848037,0.00007200923,0.01209646,0.001234139,0.00002448242,0.0001150185,0.0000334171,0.0000154843,0.001605267],"genre_scores_gemma":[0.9962787,0.00003434651,0.002866317,0.00003760687,0.0005080595,0.000004059308,0.00001934537,0.00001538548,0.0002361578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4828836,"threshold_uncertainty_score":0.3984003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00733328694058547,"score_gpt":0.263049895990885,"score_spread":0.2557166090502995,"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."}}