{"id":"W2800001505","doi":"10.7202/1044325ar","title":"Dismemberment at Windmill Point","year":2018,"lang":"en","type":"article","venue":"Ontario History","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irish; Battle; Memoir; Politics; Officer; Battlefield; History; Dismemberment; Law; Ancient history; Political science; Archaeology; Art history","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007526675,0.0002466558,0.00021636,0.0006128755,0.03941428,0.00243032,0.0008826699,0.001605538,0.0168728],"category_scores_gemma":[0.0015711,0.0002219772,0.0001258266,0.0006411002,0.005341175,0.001074193,0.002487665,0.003809974,0.001393733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.021337,"about_ca_system_score_gemma":0.02419188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9077413,"about_ca_topic_score_gemma":0.9795926,"domain_scores_codex":[0.9984503,0.0001287306,0.00001480512,0.0001537048,0.0003907607,0.0008617917],"domain_scores_gemma":[0.9992126,0.00005103088,0.00004798024,0.00003084171,0.0002773844,0.0003800778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001093356,0.00005922101,0.01694768,0.00006976983,0.00001272094,0.007442885,0.5803318,0.0001192516,0.00178552,0.101782,0.2441612,0.04717863],"study_design_scores_gemma":[0.000004622045,0.00004124647,0.01945266,0.00008507678,0.000005673086,0.0008372081,0.1669291,0.00005363822,0.0003427074,0.0009488625,0.8112706,0.00002857809],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5404359,0.00129797,0.0003940047,0.02132033,0.001248525,0.00005739209,0.0001838302,0.00006591272,0.4349961],"genre_scores_gemma":[0.6445482,0.000526042,0.0001541088,0.002804368,0.00008384888,0.00001376703,0.0000710778,0.00004155218,0.351757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09225869,"threshold_uncertainty_score":0.185604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551484686370442,"score_gpt":0.2063785558741364,"score_spread":0.190863709010432,"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."}}