{"id":"W7061064117","doi":"","title":"Oral History Interview with Herbert Cavness, March 5, 2018","year":2018,"lang":"en","type":"article","venue":"The Portal to Texas History (University of North Texas)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral history; Training (meteorology); World War II; First world war; American history","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":[0.0006264544,0.0004343513,0.0003968104,0.0008503169,0.006142553,0.001734151,0.000440297,0.002219617,0.133678],"category_scores_gemma":[0.003496648,0.0003003265,0.0001474131,0.000798154,0.0008364047,0.002118229,0.001681831,0.003647737,0.02283302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526584,"about_ca_system_score_gemma":0.001537626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03017311,"about_ca_topic_score_gemma":0.06886541,"domain_scores_codex":[0.9996648,0.00008377224,0.00001425024,0.0000502626,0.0000959344,0.00009095793],"domain_scores_gemma":[0.9994619,0.0001385407,0.00004265496,0.00001887704,0.000175574,0.0001623531],"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":[0.00002157699,0.00002303674,0.0004821859,0.00004274057,8.554806e-7,0.0005301582,0.01095471,0.000007897839,0.0002343039,0.0008037504,0.979702,0.007196717],"study_design_scores_gemma":[0.000002376074,0.00001027445,0.001603721,0.00007617885,6.850968e-7,0.0002567919,0.01752002,0.000009075327,0.0000708916,0.0001185218,0.9803263,0.000005201765],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04743664,0.02149833,0.0006377003,0.4113085,0.03177886,0.0005630472,0.006702602,0.0004264833,0.4796479],"genre_scores_gemma":[0.06884614,0.004816646,0.0003017365,0.07134867,0.003386133,0.0004066866,0.0009582763,0.0001519116,0.8497838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.133678,"threshold_uncertainty_score":0.4471975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166451101493364,"score_gpt":0.2357710995150624,"score_spread":0.2041065885001288,"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."}}