{"id":"W7000163100","doi":"","title":"Editorial: A Military-Industrial-Communications-Complex in Canada?","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001173332,0.0002797875,0.0006315964,0.0004644331,0.00006804983,0.0001903805,0.003209063,0.0001252694,0.0005654879],"category_scores_gemma":[0.0004014428,0.0002925294,0.00007929076,0.000925378,0.00004483026,0.0009953028,0.0005578895,0.000674243,0.00001111806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008792416,"about_ca_system_score_gemma":0.000775225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5351168,"about_ca_topic_score_gemma":0.2303279,"domain_scores_codex":[0.997754,0.0001408727,0.0008389319,0.0002196021,0.0006392301,0.0004074036],"domain_scores_gemma":[0.998144,0.000246811,0.0001239535,0.000924645,0.0001932741,0.0003672681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003993523,0.00004966283,0.04163963,0.00003565455,0.0000887415,0.00001244904,0.0001235828,0.06607471,0.003043634,0.00002363988,0.8830305,0.005837835],"study_design_scores_gemma":[0.001615851,0.000007526116,0.1204775,0.0003911479,0.0000465625,0.00001043499,0.0002464886,0.02065365,0.001555923,0.001144883,0.8530002,0.000849815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.760748,0.07172079,0.0008345072,0.0009873261,0.1272451,0.001745456,0.0004414246,0.0005614379,0.03571605],"genre_scores_gemma":[0.9907221,0.004166974,0.0004476568,0.00005063726,0.004406722,0.00004431604,0.00003382685,0.00007383576,0.00005392738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3047888,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3402658346729002,"score_gpt":0.4902264733963744,"score_spread":0.1499606387234743,"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."}}