{"id":"W6899169018","doi":"10.58066/6nmm-gs59","title":"Interview with Anonymous (2019-01-21)","year":2019,"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":"Interview; Anonymity; Semi-structured interview; Data collection; Oral 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":[0.003214187,0.0003428429,0.0003492516,0.001214485,0.005207142,0.001949862,0.0004648289,0.002667139,0.07608475],"category_scores_gemma":[0.008456003,0.0004767151,0.0002129948,0.001563045,0.0008277068,0.001412657,0.002102938,0.002506515,0.03718505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003361645,"about_ca_system_score_gemma":0.003587034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03500669,"about_ca_topic_score_gemma":0.0739247,"domain_scores_codex":[0.9987479,0.0005394925,0.00006645364,0.0001243777,0.0002053588,0.0003163576],"domain_scores_gemma":[0.9971028,0.0005153712,0.0001815977,0.0001934411,0.001471209,0.0005355338],"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":[0.0004449591,0.0001657238,0.002476139,0.000190059,0.000004735801,0.001316967,0.06811489,0.00007224013,0.002472301,0.003528754,0.8976373,0.02357589],"study_design_scores_gemma":[0.00003329562,0.00008139915,0.006357262,0.0001577578,0.0000033708,0.0003017586,0.07364155,0.00008940237,0.0007322623,0.0006379898,0.9179094,0.00005447714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3362288,0.003426453,0.01289953,0.07868768,0.02362012,0.01393776,0.09106699,0.001909256,0.4382233],"genre_scores_gemma":[0.2577023,0.001460317,0.00572858,0.03565572,0.001105453,0.01399593,0.005207902,0.0003262351,0.6788176],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07608475,"threshold_uncertainty_score":0.2545288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392721152920696,"score_gpt":0.2444808093156476,"score_spread":0.2105535977864407,"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."}}