{"id":"W4387330401","doi":"10.1051/sands/2023032","title":"Preface: Security and safety in unmanned systems","year":2023,"lang":"en","type":"article","venue":"Security and Safety","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer security; Computer science","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":[0.001656115,0.0001907518,0.0003386242,0.0001119672,0.0005640461,0.0001135102,0.0002094364,0.0002695743,0.00004666805],"category_scores_gemma":[0.0001768113,0.0001859489,0.00005151283,0.0004507742,0.0004653994,0.0003312261,0.000137184,0.0003550518,0.00004842034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018192,"about_ca_system_score_gemma":0.0001036152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00557728,"about_ca_topic_score_gemma":0.006118888,"domain_scores_codex":[0.9976519,0.0004630228,0.0003884191,0.0004411236,0.000368567,0.0006870037],"domain_scores_gemma":[0.9990203,0.0003388805,0.00006562738,0.0002078667,0.00005422629,0.0003130643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004121712,0.0001689953,0.04660835,0.0005547564,0.00004903472,0.0001072441,0.8755261,0.0000153001,0.00002010046,0.06953674,0.00230448,0.004696713],"study_design_scores_gemma":[0.002541569,0.0002206895,0.155598,0.0007273512,0.00004919132,0.00001585184,0.588922,0.0039713,0.00001706533,0.04282397,0.2039767,0.001136273],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984554,0.001083849,0.00001695769,0.003903366,0.0007481048,0.0004867996,0.0001498152,0.0002057947,0.008851307],"genre_scores_gemma":[0.9943509,0.004756929,0.000001445068,0.0002240315,0.0002712749,0.00001785582,0.00001832852,0.00001172452,0.0003475359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2866042,"threshold_uncertainty_score":0.8431216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582954277533871,"score_gpt":0.2964906811593995,"score_spread":0.2806611383840608,"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."}}