{"id":"W4411529298","doi":"10.46608/leaves.vi1.204","title":"Reconstructing Belfast After Terror","year":2015,"lang":"en","type":"article","venue":"Leaves","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image stitching; Quarter (Canadian coin); History; Northern ireland; Cartography; Visual arts; Geography; Archaeology; Art; Computer science; Ethnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399668,0.0004238597,0.0002679328,0.0008667322,0.01945111,0.00623042,0.001399986,0.002190458,0.03282264],"category_scores_gemma":[0.001950723,0.0004748101,0.0003200294,0.001052422,0.01161978,0.004886134,0.007789394,0.0044353,0.002929335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02863439,"about_ca_system_score_gemma":0.007865688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4170205,"about_ca_topic_score_gemma":0.7380133,"domain_scores_codex":[0.9986448,0.0004377982,0.00001616741,0.0001317572,0.000108947,0.0006605143],"domain_scores_gemma":[0.9992437,0.0001556197,0.0001021885,0.00007305227,0.00009124805,0.0003342117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003409046,0.0000740565,0.01017444,0.0002389294,0.00004057931,0.004606953,0.6494941,0.0008358391,0.0009815951,0.2252659,0.06859607,0.03935064],"study_design_scores_gemma":[0.000008232977,0.00004574397,0.009179629,0.0001870582,0.000007487437,0.0004460812,0.5692866,0.00009449184,0.0003004448,0.00341278,0.4169904,0.00004108653],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6117686,0.004087248,0.002045768,0.04442412,0.001575844,0.00007783808,0.0007121462,0.0001104215,0.3351981],"genre_scores_gemma":[0.9068694,0.0009116216,0.0007078619,0.002031579,0.00005469035,0.00001879042,0.000231292,0.00007087825,0.08910394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4170205,"threshold_uncertainty_score":0.8291864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736002070432937,"score_gpt":0.3046288677738129,"score_spread":0.2672688470694836,"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."}}