{"id":"W4248974589","doi":"10.24908/iqurcp.13276","title":"Droning Discourse","year":2019,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Rhetoric; State (computer science); Political science; Battle; Relation (database); Position (finance); George (robot); Law; Drone; Sociology; History; Computer science; Business; Linguistics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005498466,0.0006855048,0.000435234,0.00285072,0.0110933,0.01389153,0.001317704,0.00324222,0.0278169],"category_scores_gemma":[0.01290505,0.0002992272,0.0003698956,0.002951692,0.01360498,0.01141097,0.007854407,0.004243882,0.003627928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008651515,"about_ca_system_score_gemma":0.004065449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007831931,"about_ca_topic_score_gemma":0.005382081,"domain_scores_codex":[0.9936495,0.003454014,0.0002763659,0.0007482609,0.001240532,0.0006312572],"domain_scores_gemma":[0.994194,0.003792741,0.0003455889,0.0005067157,0.000855367,0.0003056788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001906055,0.00001135691,0.0002917523,0.00009486768,0.000002268102,0.0002221096,0.1682455,0.00005028279,0.0003222049,0.8024862,0.01501331,0.01324099],"study_design_scores_gemma":[0.000004501307,0.000009805259,0.0002995442,0.0004947067,0.000003439279,0.000133843,0.1000135,0.0001112089,0.0003479177,0.04343526,0.8551359,0.00001036927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03011607,0.005187867,0.006151682,0.03215596,0.001748274,0.00008533782,0.0003263089,0.0001071217,0.9241214],"genre_scores_gemma":[0.8221165,0.004782791,0.002924147,0.008164284,0.0008689136,0.0001820917,0.0004983756,0.0003032199,0.1601596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0278169,"threshold_uncertainty_score":0.0930568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701921246944163,"score_gpt":0.380292145475174,"score_spread":0.3101000207807577,"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."}}