{"id":"W7051812089","doi":"","title":"Oral History Interview with Donald Coldsmith, July 15, 2002","year":2002,"lang":"en","type":"article","venue":"The Portal to Texas History (University of North Texas)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artillery; Oral history; Officer; Notice; Infantry; World War II; Cadet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243878,0.0006831888,0.0006737448,0.001318225,0.00793254,0.00303853,0.0008947503,0.003356621,0.1525344],"category_scores_gemma":[0.006177154,0.0007314219,0.0002077618,0.001199421,0.0009054056,0.002389018,0.002078165,0.00542452,0.04061494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00494646,"about_ca_system_score_gemma":0.003809893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04621623,"about_ca_topic_score_gemma":0.1370969,"domain_scores_codex":[0.9992431,0.0002265187,0.00004227681,0.0001062111,0.0001854955,0.0001964363],"domain_scores_gemma":[0.998287,0.0002857183,0.00009160471,0.00005197975,0.0007144556,0.0005690744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001415962,0.00001653603,0.0003656424,0.00003070559,6.19921e-7,0.0002493845,0.003709546,0.000003402625,0.00008559285,0.0002552157,0.9909667,0.004302353],"study_design_scores_gemma":[0.000002786746,0.00001205812,0.001198069,0.00009269734,7.683545e-7,0.0002197028,0.01282896,0.000006857968,0.00004300426,0.00005627469,0.985531,0.00000780757],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02161996,0.01655882,0.0005466366,0.406821,0.03425812,0.0006740338,0.006233256,0.0004130836,0.5128751],"genre_scores_gemma":[0.03473245,0.005514573,0.0003362335,0.1111285,0.00240428,0.0006070238,0.001023035,0.0001743173,0.8440796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1525344,"threshold_uncertainty_score":0.5102783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762247622996616,"score_gpt":0.1864467619578157,"score_spread":0.1588242857278495,"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."}}