{"id":"W1903852868","doi":"","title":"Trace interviews: An actor-centered approach","year":2015,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"TRACE (psycholinguistics); Interview; Process (computing); Computer science; Data science; Big data; Politics; Political science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05555467,0.001834732,0.0009403062,0.007273391,0.008504991,0.01084791,0.005768929,0.00331301,0.009849223],"category_scores_gemma":[0.04142339,0.001420576,0.0008750032,0.004672267,0.01237313,0.01059713,0.01036437,0.004296784,0.00248452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007872103,"about_ca_system_score_gemma":0.0121396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687443,"about_ca_topic_score_gemma":0.007922024,"domain_scores_codex":[0.927982,0.06290667,0.001226222,0.003301997,0.003355508,0.00122755],"domain_scores_gemma":[0.9411892,0.04503657,0.002446679,0.004693165,0.004980155,0.00165413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002020842,0.0002778427,0.002016378,0.001385073,0.00007722497,0.0007655618,0.5442246,0.003233897,0.004287147,0.302094,0.006596632,0.1348395],"study_design_scores_gemma":[0.0001353595,0.0001810735,0.001250367,0.001882587,0.00007602825,0.0006881044,0.3044285,0.01469351,0.005712316,0.4226617,0.2481533,0.000137121],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01785125,0.0005001228,0.9378937,0.003710543,0.0001858644,0.003647988,0.0003854945,0.0004818899,0.03534308],"genre_scores_gemma":[0.245025,0.001016001,0.7218822,0.001254049,0.0001121261,0.009432274,0.0005524621,0.0004085318,0.02031722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05555467,"threshold_uncertainty_score":0.2938047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047111485635836,"score_gpt":0.3489293198065332,"score_spread":0.1442181712429497,"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."}}