{"id":"W6982525307","doi":"","title":"International Humanitarian Law and Artificial Intelligence: A Canadian Perspective","year":2022,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International humanitarian law; International law; Transparency (behavior); Perspective (graphical); Rules of engagement; Military science; Revolution in Military Affairs; Military threat; Armed conflict","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":[0.003233998,0.0009359898,0.0007350932,0.007477873,0.019967,0.01575684,0.002420353,0.004858019,0.01152755],"category_scores_gemma":[0.005658628,0.0004959071,0.0007256842,0.01156581,0.0305352,0.006869153,0.00330035,0.006452002,0.0006964669],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2885688,"about_ca_system_score_gemma":0.2395859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99383,"about_ca_topic_score_gemma":0.9943343,"domain_scores_codex":[0.9949504,0.000658542,0.0001200096,0.000496383,0.002124878,0.001649764],"domain_scores_gemma":[0.9949344,0.001162599,0.0002663598,0.0001379119,0.002577484,0.0009212521],"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":[0.000005593283,0.000008080317,0.000375756,0.00005833117,0.000003854964,0.00006098572,0.002205049,0.0002249291,0.00002469838,0.9688668,0.02202278,0.006143055],"study_design_scores_gemma":[0.00001279766,0.00001287413,0.003661,0.0008370555,0.00002599347,0.0001475077,0.01152516,0.0007857625,0.00009180915,0.1028767,0.8799545,0.00006890406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008383994,0.0517831,0.002088964,0.1604177,0.001254109,0.00005446604,0.0004985084,0.00003211505,0.7754871],"genre_scores_gemma":[0.6100414,0.1454394,0.007680207,0.05176947,0.001292379,0.0001201067,0.0006272325,0.0001118458,0.1829179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2885688,"threshold_uncertainty_score":0.8251594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563256287654828,"score_gpt":0.3314240967113904,"score_spread":0.2857915338348422,"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."}}