{"id":"W4408940544","doi":"10.5038/1911-9933.18.1.1956","title":"Lessons Learned: Overcoming Obstacles to Inference and Synthesis in Atrocity Prevention Research","year":2024,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Inference; Political science; Sociology; Psychology; Computer science; Artificial intelligence; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002449935,0.00008320095,0.0001573256,0.0001370791,0.0005739931,0.0001774871,0.00007440573,0.00007440146,0.00001193564],"category_scores_gemma":[0.0008652838,0.00008224155,0.00004111745,0.0003871447,0.0001643135,0.0002372953,0.000174903,0.000177929,0.000008904918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014458,"about_ca_system_score_gemma":0.0000743432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222229,"about_ca_topic_score_gemma":0.04446932,"domain_scores_codex":[0.9985163,0.0004445219,0.0001656905,0.0003023782,0.0002658735,0.0003052088],"domain_scores_gemma":[0.9992437,0.0005095443,0.00002188278,0.00007374677,0.0000808971,0.00007027251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002203544,0.00001025743,0.001663016,0.0002683233,0.00007478098,0.000009203496,0.05325314,0.00001455904,0.0002309741,0.08490755,0.000657725,0.8588884],"study_design_scores_gemma":[0.0001346612,0.0001154952,0.02408243,0.0009823752,0.00004332665,9.807461e-7,0.06959553,0.00006786879,0.00002241092,0.8744643,0.03028758,0.0002030257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608853,0.02463756,0.00128966,0.009732965,0.0001893187,0.0004807099,0.000008903066,0.00005645661,0.002719077],"genre_scores_gemma":[0.970093,0.02668008,0.00174575,0.00002439579,0.00008293495,0.00004535627,0.00000163348,0.000005894938,0.001321021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8586854,"threshold_uncertainty_score":0.9729666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2654756718387302,"score_gpt":0.5239783610021567,"score_spread":0.2585026891634265,"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."}}