{"id":"W2067741198","doi":"10.1080/10749039.2014.990039","title":"Telling in Time","year":2015,"lang":"en","type":"article","venue":"Mind Culture and Activity","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572877,0.00005590272,0.0000995821,0.000009630178,0.0003153955,0.00004797773,0.00005813472,0.00006844792,0.00003044338],"category_scores_gemma":[0.00004244635,0.00003928549,0.0000225291,0.0001008256,0.0001142362,0.0001793009,0.00004475524,0.00009091318,0.00004315604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004859296,"about_ca_system_score_gemma":0.00001964043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005384033,"about_ca_topic_score_gemma":0.002145877,"domain_scores_codex":[0.9994949,0.00006533186,0.00004514398,0.0001055155,0.00014253,0.0001465578],"domain_scores_gemma":[0.9998422,0.0000142275,0.00001920926,0.00002425095,0.00003286613,0.00006729382],"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":[0.00009879652,0.0002642192,0.01893543,0.000008374269,0.00003294379,0.00003410284,0.8736047,0.000004551667,0.002582907,0.002008753,0.01143652,0.09098872],"study_design_scores_gemma":[0.0008154397,0.000173458,0.02156067,0.0000612602,0.00002496231,0.000002946612,0.1085879,0.00004758803,0.001644228,0.0110031,0.8555208,0.0005575591],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660672,0.0001884041,0.000003377542,0.001107416,0.00006616577,0.00006287293,0.000001403897,0.00001039508,0.1324928],"genre_scores_gemma":[0.9775088,0.00003685134,0.00003579627,0.00003388011,0.0002302745,0.00000321327,7.529076e-7,0.000001549178,0.02214886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8440843,"threshold_uncertainty_score":0.2425799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04307054140919119,"score_gpt":0.3289299721804858,"score_spread":0.2858594307712946,"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."}}