{"id":"W6899249940","doi":"10.58066/nzzp-q321","title":"Interview with Tony Correia","year":2017,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","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; Proposition; Interview; Work (physics)","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006435525,0.000124952,0.0002808955,0.0001975116,0.004646899,0.0002822401,0.0004954065,0.00005797057,0.001026008],"category_scores_gemma":[0.00009246529,0.0001220815,0.00007888256,0.0000519063,0.001791999,0.0005132185,0.000187959,0.0006287898,0.00006538439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009943604,"about_ca_system_score_gemma":0.00009095731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180645,"about_ca_topic_score_gemma":0.002034998,"domain_scores_codex":[0.9984235,0.0003725033,0.0001078691,0.0003245038,0.0004920287,0.000279653],"domain_scores_gemma":[0.9984125,0.0001193416,0.0002111796,0.0004506682,0.0006434031,0.0001628967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003217635,0.001294543,0.1335231,0.001826144,0.002659139,0.002346822,0.6310622,0.00008216172,0.01082655,0.03529856,0.1228339,0.05502932],"study_design_scores_gemma":[0.0005978812,0.00115012,0.007647453,0.0001958519,0.00005763325,0.000006979684,0.04430257,0.0001774574,0.00010251,0.00009430681,0.9454604,0.0002068449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7100779,0.001068866,0.00006609083,0.000953395,0.0005933239,0.0002132182,0.000005187346,0.00007038358,0.2869516],"genre_scores_gemma":[0.8453553,0.00008333102,0.00005555019,0.000006514562,0.0003229952,4.720403e-7,0.000003926204,0.00001218319,0.1541597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8226265,"threshold_uncertainty_score":0.9998872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0622421705309612,"score_gpt":0.2753257854777481,"score_spread":0.2130836149467868,"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."}}