{"id":"W4400076042","doi":"10.3390/genealogy8030079","title":"A ‘Usable Past’?: Irish Affiliation in CANZUS Settler States","year":2024,"lang":"en","type":"article","venue":"Genealogy","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irish; USable; Genealogy; Political science; History; Computer science; World Wide Web; Linguistics; Philosophy","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":[0.0003216682,0.00005924758,0.0001035999,0.00007546067,0.0001525217,0.00007620447,0.00007975726,0.00006751182,0.0001690053],"category_scores_gemma":[0.00005367347,0.00006207846,0.00002839835,0.0003177373,0.0001019246,0.0001009011,0.00002791736,0.00008158418,0.0002045361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097341,"about_ca_system_score_gemma":0.0001341075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085052,"about_ca_topic_score_gemma":0.01595905,"domain_scores_codex":[0.9991328,0.00008993832,0.0001230942,0.0001825896,0.0001398043,0.0003318487],"domain_scores_gemma":[0.999761,0.00008902088,0.00001414728,0.00005507347,0.00003772101,0.00004300666],"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":[0.000004057537,0.00001802963,0.0140785,0.00002438522,0.00001489051,0.00006583845,0.007809075,0.00007149647,0.00004188974,0.0005591511,0.9613223,0.01599037],"study_design_scores_gemma":[0.0001730315,0.0000383906,0.01934958,0.0000371661,0.00001071656,0.000003373974,0.004878763,0.0003026212,0.00006616869,0.003870053,0.971091,0.0001791887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7211996,0.01311688,0.0002522604,0.03526985,0.003074026,0.0004437029,0.0001045586,0.0003444117,0.2261947],"genre_scores_gemma":[0.9929955,0.001185588,0.0001072735,0.0004383258,0.0005721708,0.0000310438,0.00002842427,0.000008577402,0.004633073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2717959,"threshold_uncertainty_score":0.9957363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610173585573551,"score_gpt":0.3107886603123646,"score_spread":0.2946869244566291,"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."}}