{"id":"W2626940515","doi":"10.1353/aca.2017.0015","title":"Preface to E.R. Forbes's Bibliography","year":2017,"lang":"en","type":"article","venue":"Acadiensis","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Politics; Historiography; History; Injustice; Sociology; Classics; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002558607,0.00004379175,0.00007718323,0.002501101,0.003453376,0.0007883949,0.0004464414,0.00006767315,0.0003396112],"category_scores_gemma":[0.0002143172,0.0000585003,0.0000775626,0.0009038009,0.0004207412,0.0003249712,0.00005286257,0.00006805921,0.00050504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008337665,"about_ca_system_score_gemma":0.0001140202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.579667,"about_ca_topic_score_gemma":0.8902358,"domain_scores_codex":[0.9993076,0.00002282307,0.00006568236,0.0001530065,0.000181028,0.0002698685],"domain_scores_gemma":[0.9992536,0.00001968812,0.00004733466,0.0003358225,0.00005773923,0.0002858102],"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":[0.000004155218,0.000009433602,0.006720187,0.000003124162,0.0000140542,0.000008249279,0.007356967,7.094628e-7,0.00004505236,0.01551516,0.9514264,0.01889655],"study_design_scores_gemma":[0.00004452531,0.000009860534,0.05810164,0.000006175445,0.000008117783,2.071806e-7,0.0003229826,3.530657e-7,0.00001102291,0.0005813358,0.9408341,0.00007969559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3076174,0.000253084,0.0000234499,0.01293598,0.00112847,0.0002183899,0.00002307564,0.0000850416,0.6777151],"genre_scores_gemma":[0.963658,0.001139543,0.0002933663,0.001188917,0.000389648,0.00001388436,7.564412e-7,0.00001031923,0.0333055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6560407,"threshold_uncertainty_score":0.997844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402321053048967,"score_gpt":0.2999634155449237,"score_spread":0.2759402050144341,"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."}}