{"id":"W2887860336","doi":"","title":"Convict Micro-Histories Reveal Processes of British Colonisation","year":2018,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"Australian History and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convict; Misrepresentation; Colonisation; Quarter (Canadian coin); History; Sentence; Genealogy; Law; Political science; Archaeology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0001106029,0.00006657176,0.0001691315,0.00002840492,0.0006100137,0.00004227143,0.0002652905,0.0001140209,0.0000475296],"category_scores_gemma":[0.00007151515,0.0001094671,0.00009365643,0.0002103817,0.001745804,0.0008519817,0.00004151083,0.00006294385,0.00001138818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932708,"about_ca_system_score_gemma":0.0003023208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307326,"about_ca_topic_score_gemma":0.001523477,"domain_scores_codex":[0.9992041,0.00004638533,0.0001340103,0.0001839756,0.0002783716,0.0001531755],"domain_scores_gemma":[0.9990644,0.00005634056,0.0002576632,0.000121951,0.0004187168,0.00008091402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004516798,0.0007487753,0.4546699,0.0007623402,0.0002678208,0.0002077537,0.3191372,0.000006045032,0.01236846,0.006331802,0.2024058,0.002642385],"study_design_scores_gemma":[0.0008516462,0.0005970999,0.107321,0.0002350285,0.0001161291,0.00002771808,0.1063023,0.00000234584,0.003448522,0.0004104752,0.7801126,0.0005751094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307134,0.00005549535,0.0000820463,0.00005621514,0.0003197387,0.0001104221,0.00007523465,0.00004513334,0.06854235],"genre_scores_gemma":[0.9428083,0.00001358108,0.0002408031,0.000009607582,0.0001205145,1.314308e-7,0.000008361561,0.000005178672,0.05679355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5777068,"threshold_uncertainty_score":0.6432486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512639583092935,"score_gpt":0.2153608887385332,"score_spread":0.2002344929076038,"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."}}