{"id":"W2541269990","doi":"10.5038/1911-9933.10.2.1411","title":"Working with the Remains in Cambodia: Skeletal Analysis and Human Rights after Atrocity","year":2016,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Genocide; Work (physics); Demographics; Sociology; Political science; Criminology; Gender studies; Law; Engineering","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":[0.0006926672,0.00007500927,0.0001596164,0.00004014275,0.001144877,0.00002544699,0.00004209935,0.00004439152,0.00002601108],"category_scores_gemma":[0.00001023821,0.00004034653,0.00007685167,0.0002318031,0.0004533948,0.0000956154,0.00003634769,0.00005895037,9.698366e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009575464,"about_ca_system_score_gemma":0.00001135636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00076049,"about_ca_topic_score_gemma":0.273209,"domain_scores_codex":[0.9992076,0.0002078704,0.0001044858,0.0001822383,0.0001282098,0.0001696166],"domain_scores_gemma":[0.9997073,0.00008748165,0.00006041484,0.00007853392,0.00003050944,0.00003571387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001028386,0.0000174227,0.6668992,0.00005965527,0.002397096,0.00003428791,0.2321246,0.000002699882,0.0002019687,0.04256823,0.001428269,0.05416379],"study_design_scores_gemma":[0.0004903729,0.00007048527,0.89289,0.00009011359,0.0004813627,7.287852e-7,0.010507,1.399204e-7,0.000004637712,0.04985419,0.04540659,0.0002044064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938397,0.002686328,0.0008174191,0.001044828,0.0000469881,0.0001605834,0.000001398135,0.00001308219,0.001389656],"genre_scores_gemma":[0.9961548,0.0005058515,0.0002900778,0.0000386301,0.0001125773,0.00002643256,5.841061e-7,0.000002663099,0.002868352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2724485,"threshold_uncertainty_score":0.8805583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438796989926826,"score_gpt":0.2945318102566307,"score_spread":0.2701438403573624,"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."}}