{"id":"W6959205382","doi":"10.7916/d8-bdez-b137","title":"Oral history interview with Mary Evangeline Kohler 1996","year":2019,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral history; Biography; George (robot); History of science; Narrative","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":[0.0005387879,0.0003351468,0.0002980778,0.001089254,0.005864485,0.001930231,0.0005892484,0.001644792,0.0616665],"category_scores_gemma":[0.004081734,0.0003674163,0.0000981342,0.001316442,0.0010062,0.001671992,0.001574657,0.002875651,0.01165129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004722903,"about_ca_system_score_gemma":0.004685786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1900055,"about_ca_topic_score_gemma":0.4455199,"domain_scores_codex":[0.9996908,0.00007941123,0.00001843259,0.00005102493,0.00008520704,0.00007510192],"domain_scores_gemma":[0.9991992,0.0002407001,0.0000915419,0.00002323401,0.0002512856,0.000193998],"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":[0.00004275106,0.00004129971,0.001793312,0.0001355087,0.000002373509,0.002447479,0.1062656,0.00003577835,0.00081356,0.00272852,0.863363,0.02233082],"study_design_scores_gemma":[0.000004309444,0.00001180033,0.004703035,0.0001809213,0.000001558775,0.0003590839,0.09616511,0.00001465818,0.0001654851,0.000189804,0.8981899,0.00001438455],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1226144,0.01674839,0.0008981701,0.1915159,0.01259993,0.001017375,0.006108759,0.0001580108,0.648339],"genre_scores_gemma":[0.1302842,0.005700523,0.0004382519,0.02484746,0.0005570127,0.0008530336,0.0006647888,0.00009254697,0.8365622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1900055,"threshold_uncertainty_score":0.377799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287906775771632,"score_gpt":0.1993728324454552,"score_spread":0.1564937646877388,"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."}}