{"id":"W6977819819","doi":"10.7939/dvn/kcnxex/v52rbd","title":"trcsbc.F90","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242145,0.004791068,0.002041693,0.00686215,0.001667552,0.003858584,0.003645682,0.003736393,0.1272462],"category_scores_gemma":[0.007742455,0.001031377,0.002203641,0.00998909,0.0009091361,0.001610074,0.001917287,0.00237747,0.2175869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002943859,"about_ca_system_score_gemma":0.006046768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1513213,"about_ca_topic_score_gemma":0.2012657,"domain_scores_codex":[0.9985202,0.0002029539,0.0001127435,0.0004412895,0.0003968966,0.0003259655],"domain_scores_gemma":[0.9967636,0.0007410917,0.0001832975,0.0007681386,0.0009986986,0.0005450574],"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":[0.00004424084,0.00001652915,0.0001582002,0.0003041538,0.00001545432,0.00001001982,0.000008761436,0.0002323408,0.00005431829,0.0001718479,0.9977125,0.001271614],"study_design_scores_gemma":[0.0005137923,0.00004167323,0.002846448,0.0003536286,0.00005750982,0.00006867747,0.0001130734,0.001182628,0.0004382193,0.001477396,0.9928539,0.00005311839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001396025,0.0001264236,0.00004217195,0.0000711992,0.00005085292,0.0000110851,0.9977546,0.0007210277,0.001082906],"genre_scores_gemma":[0.0002664656,0.00008037518,0.0001820496,0.00004616029,0.00001014215,0.00002877554,0.9983184,0.00009618585,0.0009714612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1513213,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005113838691022886,"score_gpt":0.1450106712886725,"score_spread":0.1398968325976496,"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."}}