{"id":"W4280587722","doi":"10.36878/nsj20220518.02","title":"A Counter-Drone Strategy for New Zealand","year":2022,"lang":"en","type":"article","venue":"National Security Journal","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drone; Legislation; Law enforcement; Enforcement; Political science; Aviation; Key (lock); Law; Public administration; Computer security; Engineering; Computer science","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":[0.001915063,0.00039341,0.0001824308,0.001805616,0.001790752,0.00311642,0.0005652671,0.001062129,0.004087608],"category_scores_gemma":[0.003249546,0.0001588571,0.0003677306,0.001167511,0.001309185,0.002650381,0.001700226,0.0009444837,0.0005358937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00509717,"about_ca_system_score_gemma":0.01400171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1159851,"about_ca_topic_score_gemma":0.1962457,"domain_scores_codex":[0.9987894,0.0002295679,0.0001010265,0.00007300597,0.0006468344,0.0001601756],"domain_scores_gemma":[0.9987299,0.0001698777,0.0002869477,0.00004715452,0.0005989096,0.000167228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002153646,0.0004351091,0.03855751,0.002897917,0.0001118018,0.004794993,0.03153959,0.002432625,0.02030406,0.2511202,0.05614051,0.5914503],"study_design_scores_gemma":[0.00005409573,0.0005245011,0.07036498,0.001451683,0.0001006081,0.001657706,0.03495926,0.001471447,0.004367241,0.01094981,0.8739737,0.000125026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4175221,0.01852087,0.01073857,0.05380919,0.0007524162,0.001025438,0.0004639334,0.0001533165,0.4970141],"genre_scores_gemma":[0.8606712,0.02196669,0.02470956,0.003369519,0.00008705705,0.0003012118,0.0003796191,0.00005711339,0.08845803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1159851,"threshold_uncertainty_score":0.2306201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925837397533346,"score_gpt":0.3534450928445909,"score_spread":0.3041867188692574,"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."}}