{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000276144,0.001088952,0.0005664334,0.000787848,0.0006084397,0.001414665,0.0007694883,0.001140782,0.3587734],"category_scores_gemma":[0.005743117,0.0003230199,0.0004148315,0.0003502641,0.0002362374,0.001959238,0.001411253,0.001044999,0.09442166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845963,"about_ca_system_score_gemma":0.0002655838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134731,"about_ca_topic_score_gemma":0.00174632,"domain_scores_codex":[0.9996911,0.00004037091,0.00002102536,0.00004884936,0.000120279,0.00007846776],"domain_scores_gemma":[0.9973278,0.001071106,0.0002065815,0.0002864877,0.000497379,0.0006106151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.004106159,0.0005271425,0.004180435,0.001316866,0.00005841737,0.0007204202,0.001418698,0.0006501245,0.04079474,0.003429997,0.5623176,0.3804795],"study_design_scores_gemma":[0.001002306,0.001707548,0.02076704,0.0006637913,0.0002653564,0.00146292,0.003087059,0.007861616,0.08575812,0.0102197,0.8669315,0.0002731332],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1581597,0.00287433,0.1010734,0.02219748,0.009121144,0.001797278,0.02099746,0.1066888,0.5770905],"genre_scores_gemma":[0.3838047,0.002180287,0.07153442,0.008065928,0.002318412,0.001405157,0.009287332,0.01023635,0.5111674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3587734,"threshold_uncertainty_score":0.914632,"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."}}