{"id":"W2965340630","doi":"10.29173/cais992","title":"Narratives of Fact and Fiction: Examining Studies of Information Experience and the Interpretation of Data.","year":2018,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Narrative; Humanities; Sociology; Interpretation (philosophy); Situated; Philosophy; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001303109,0.0001713773,0.0004777652,0.0001505835,0.000143607,0.0006226134,0.001293115,0.00008740788,0.000008136039],"category_scores_gemma":[0.009268775,0.0001122033,0.00005142103,0.0004511302,0.003705564,0.02748337,0.001279608,0.0001522768,3.158315e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001789648,"about_ca_system_score_gemma":0.0001753478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304285,"about_ca_topic_score_gemma":0.000004851953,"domain_scores_codex":[0.9981918,0.00005694426,0.0008942226,0.000170161,0.000502757,0.0001841224],"domain_scores_gemma":[0.9614788,0.0002888248,0.001706945,0.0002370176,0.03623829,0.00005009508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003701026,0.0000435684,0.01785657,0.001074842,0.00009994912,5.789076e-8,0.8965077,0.000002993004,0.003570283,0.03136026,0.0002012228,0.04891243],"study_design_scores_gemma":[0.003367708,0.003458698,0.2510729,0.004454194,0.0002708023,0.00007733887,0.4695815,0.07288733,0.1806904,0.005947734,0.007596184,0.00059527],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942407,0.0006827035,0.001908016,0.001165291,0.000202572,0.0003512355,0.000151495,0.000007298147,0.001290676],"genre_scores_gemma":[0.9975906,0.0005150022,0.001723854,0.00004454732,0.00002569608,0.000008816365,0.000002959784,0.000003475335,0.00008505918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269263,"threshold_uncertainty_score":0.9990765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328853814516107,"score_gpt":0.3289696487864021,"score_spread":0.235681110641241,"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."}}