{"id":"W4398462456","doi":"10.7910/dvn/gv8sqz","title":"Prairie View College Oral Histories: Voices of the Formerly Enslaved","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genealogy; History; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004180107,0.000523172,0.0009550599,0.0003244484,0.0006860033,0.000094483,0.001476797,0.000205108,0.0262015],"category_scores_gemma":[0.0003927114,0.0003820438,0.0005182976,0.0002689901,0.001205778,0.0005003602,0.0003777386,0.0004871337,0.05048658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724903,"about_ca_system_score_gemma":0.0004106096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006432534,"about_ca_topic_score_gemma":0.1218499,"domain_scores_codex":[0.997196,0.0002669865,0.0007632818,0.0005864463,0.0007751259,0.0004121311],"domain_scores_gemma":[0.9964519,0.0001831268,0.0009215794,0.001976965,0.0003583372,0.0001080798],"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":[0.00003879541,0.0001072876,0.000002094845,0.0004520957,0.0004757034,0.00004154015,0.002769724,6.498731e-7,0.000006648825,0.001207519,0.9948483,0.00004971612],"study_design_scores_gemma":[0.0003789518,0.0001333084,0.000006035955,0.0001743534,0.0013072,0.00000207539,0.004339401,0.000002912549,0.00001061308,0.00007355524,0.993144,0.0004276184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002473664,0.00003198827,4.505425e-7,0.00007176014,0.003593586,0.0004805708,0.9936332,0.00006923341,0.002094437],"genre_scores_gemma":[0.0000473785,0.0001716033,0.00001783311,0.0003143827,0.0007129238,0.00006493342,0.9273645,0.00005913702,0.07124728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1154174,"threshold_uncertainty_score":0.9998631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811824754038475,"score_gpt":0.2491368278515927,"score_spread":0.211018580311208,"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."}}