{"id":"W7013925894","doi":"","title":"Oral History Interview with Paul Dillon","year":2003,"lang":"en","type":"article","venue":"The Portal to Texas History (University of North Texas)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Navy; Oral history; National guard; Coast guard; George (robot); World War II; Graduation (instrument); Guard (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001047643,0.0007446713,0.0007127839,0.001282365,0.008035285,0.003446682,0.000859599,0.002238663,0.1103864],"category_scores_gemma":[0.004454888,0.0006086027,0.0001948759,0.001464961,0.001855636,0.003443066,0.003481311,0.004231606,0.02200771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005981663,"about_ca_system_score_gemma":0.003235097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03501907,"about_ca_topic_score_gemma":0.07193397,"domain_scores_codex":[0.9991087,0.0003011668,0.00003297294,0.0001184472,0.0002367836,0.0002018493],"domain_scores_gemma":[0.9985912,0.0004113584,0.0001175523,0.00004270332,0.000418827,0.0004184445],"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":[0.00003045261,0.00002902964,0.0006533902,0.0001100303,0.000001323267,0.001040301,0.03526984,0.00001252886,0.0002443188,0.001757643,0.9492809,0.0115702],"study_design_scores_gemma":[0.000002554091,0.00001643687,0.0007218202,0.0001211639,8.579203e-7,0.0004471153,0.04302237,0.000008404,0.00004820007,0.0001249514,0.9554772,0.000009013975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03548945,0.02838585,0.0006924265,0.28851,0.02027964,0.0004369912,0.00264501,0.000343524,0.6232172],"genre_scores_gemma":[0.1143005,0.01328745,0.0006081398,0.1088329,0.002721682,0.0007979231,0.0007296279,0.0002619434,0.7584598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8896136,"threshold_uncertainty_score":0.3692793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134348395814852,"score_gpt":0.1953382337416424,"score_spread":0.1539947497834939,"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."}}