{"id":"W2620595468","doi":"10.5038/1911-9933.11.1.1454","title":"Beyond the Protective Effect: Towards a Theory of Harm for Information Communication Technologies in Mass Atrocity Response","year":2017,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Harm; Context (archaeology); Software deployment; ICTS; Normative; Variety (cybernetics); Business; Political science; Public relations; Sociology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02164043,0.001915506,0.001384677,0.005722335,0.006792614,0.01099486,0.004574767,0.01347568,0.00683646],"category_scores_gemma":[0.02555941,0.0007523951,0.002047633,0.001797041,0.08450449,0.01970679,0.009339036,0.0121475,0.0008664197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009115501,"about_ca_system_score_gemma":0.009547547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348079,"about_ca_topic_score_gemma":0.002724306,"domain_scores_codex":[0.9820116,0.01097925,0.0006372692,0.001416288,0.003624569,0.001330994],"domain_scores_gemma":[0.9578839,0.03107199,0.003184441,0.003145601,0.003819381,0.0008945969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007195249,0.00002366634,0.0004115628,0.00006671347,0.000007732438,0.00006604964,0.002232138,0.0003888051,0.00004420088,0.9944641,0.000359218,0.001928643],"study_design_scores_gemma":[0.00001322598,0.00005224755,0.0004225113,0.0003657926,0.00002204157,0.0002304151,0.002856008,0.001254027,0.0001765581,0.9849918,0.009596273,0.00001916305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03064138,0.006589036,0.417179,0.1264824,0.001012936,0.000994527,0.0002142551,0.0001468805,0.4167394],"genre_scores_gemma":[0.9282107,0.004042836,0.04303733,0.01239667,0.0005542834,0.001238002,0.00007432953,0.00007005371,0.01037576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02164043,"threshold_uncertainty_score":0.1144469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788884160509629,"score_gpt":0.3577354975317789,"score_spread":0.3298466559266826,"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."}}