{"id":"W2009404718","doi":"10.1080/13642987.2014.991212","title":"Getting drones wrong","year":2015,"lang":"en","type":"article","venue":"The International Journal of Human Rights","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Drone; Human rights; Political science; Law and economics; Environmental ethics; Law; Sociology; Biology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012353,0.00004960401,0.00005837971,0.00006837967,0.0000600879,0.00005408185,0.0003499989,0.000017515,0.00004783771],"category_scores_gemma":[0.00000540866,0.0000307871,0.00003500035,0.00003358892,0.00001968927,0.0001457302,0.00001688655,0.00009437492,0.00002246872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007053232,"about_ca_system_score_gemma":0.000009778666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238592,"about_ca_topic_score_gemma":0.00002594558,"domain_scores_codex":[0.999436,0.000009085104,0.0002125403,0.00002996099,0.0002562293,0.00005622128],"domain_scores_gemma":[0.9995502,0.00002056361,0.00008267457,0.00006857111,0.0002407985,0.00003715274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006164811,0.0001842377,0.0009090987,0.00001322947,0.0008803293,0.00009391223,0.006027679,0.6200787,0.01700454,0.2499093,0.09701083,0.007826494],"study_design_scores_gemma":[0.003945155,0.0002748236,0.005560995,0.0002578612,0.0001692911,0.001103465,0.0007066518,0.1815846,0.0443882,0.5222418,0.2389587,0.0008084381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647564,0.0002110453,0.02138985,0.0006276395,0.0009028856,0.00005135717,0.000001645563,0.00004476785,0.01201438],"genre_scores_gemma":[0.9977268,0.000004341266,0.001396845,0.00002778266,0.0006082499,0.000001261578,0.000002693849,0.000007650855,0.0002243633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4384941,"threshold_uncertainty_score":0.1255461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739214703988109,"score_gpt":0.2540637570608154,"score_spread":0.2366716100209343,"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."}}