{"id":"W2007218936","doi":"10.5038/1911-9933.8.3.3","title":"No More Hidden Secrets: Human Rights Violation and Remote Sensing","year":2014,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Witness; Human rights; Remote sensing; Genocide; Satellite imagery; Resolution (logic); Geography; Computer security; Political science; Computer science; Law; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007604266,0.0001524623,0.0003120069,0.0000517989,0.00317269,0.000008968958,0.00002870295,0.0001080865,0.00002169048],"category_scores_gemma":[0.0001192981,0.0001226727,0.00003463365,0.00006382213,0.00008117408,0.00008008827,0.0001374359,0.0002178212,0.00003071859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004758571,"about_ca_system_score_gemma":0.00001669264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007431224,"about_ca_topic_score_gemma":0.0006894408,"domain_scores_codex":[0.9985424,0.0003148669,0.0004048524,0.0002692071,0.0001221591,0.000346495],"domain_scores_gemma":[0.999144,0.0002156109,0.000193104,0.0001399935,0.0002102627,0.00009709782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009248327,0.000002784792,0.001727697,0.002039593,0.0002891729,0.000003201084,0.05601678,3.662403e-7,0.0006772306,0.002614539,0.00439691,0.9321392],"study_design_scores_gemma":[0.002194398,0.0004563422,0.152207,0.001675398,0.0002066309,0.000005881832,0.006126538,0.0003499389,0.00002153912,0.1731871,0.6630811,0.000488118],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339445,0.01246642,0.01835003,0.007693692,0.001335955,0.001985514,0.000008936746,0.0002509764,0.02396393],"genre_scores_gemma":[0.8933057,0.005959891,0.06108975,0.0066981,0.00404109,0.00004490654,0.00009200321,0.00007912749,0.02868948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9316511,"threshold_uncertainty_score":0.998125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951712854043803,"score_gpt":0.434968180988288,"score_spread":0.36545105244785,"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."}}