{"id":"W3113760317","doi":"10.3138/chr-2020-0020","title":"Clio and Computers in Canada and Beyond: Contested Past, Promising Present, Uncertain Future","year":2020,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Discipline; Pessimism; Context (archaeology); Optimism; Data science; Political science; History; Computer science; Social science; Sociology; Epistemology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007703248,0.0001415371,0.000326096,0.00004187761,0.0001391999,0.0001677214,0.0001117338,0.00002232908,0.0001673463],"category_scores_gemma":[0.00004906647,0.0001283296,0.00002868826,0.00005408098,0.00003614414,0.0001769645,0.00002388357,0.000194115,0.000002662437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206947,"about_ca_system_score_gemma":0.0005655133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9721204,"about_ca_topic_score_gemma":0.9979877,"domain_scores_codex":[0.9990893,0.00004645382,0.0002567997,0.000224374,0.0001186416,0.0002644488],"domain_scores_gemma":[0.9991235,0.00005793465,0.0000507612,0.00008882483,0.00004325105,0.0006357493],"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":[0.00001093917,0.00001206627,0.003916018,0.002255153,0.00002749342,0.000468817,0.006361308,5.371687e-7,3.194657e-7,0.07813136,0.7657739,0.1430421],"study_design_scores_gemma":[0.0001234102,0.00003487257,0.0002393299,0.0003465769,0.00001320165,0.00000473166,0.0003376998,0.00001990159,2.603505e-8,0.0001001773,0.9986215,0.000158614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03515725,0.6669,0.000002056239,0.151723,0.001799421,0.00167848,0.0002488944,0.0000642357,0.1424267],"genre_scores_gemma":[0.8586297,0.01657533,0.00007702721,0.1147322,0.003006701,0.00006318138,0.00009482518,0.00008011544,0.006740946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8234724,"threshold_uncertainty_score":0.5411591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316727244356136,"score_gpt":0.2121228463161088,"score_spread":0.1589555738725474,"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."}}