{"id":"W7020918948","doi":"","title":"A Multidisciplinary Approach to Enhancing Infantry Training through Immersive Technologies","year":2011,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Interactivity; Multidisciplinary approach; Virtual reality; Training (meteorology); USable; Usability; General partnership; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002145521,0.0007299352,0.0008540894,0.0008556601,0.0001097568,0.00003143072,0.0009665965,0.0009514679,0.003932075],"category_scores_gemma":[0.0001970948,0.0006923494,0.0001737308,0.0007398046,0.000345627,0.0001005156,0.0008209847,0.000703678,0.01328409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470682,"about_ca_system_score_gemma":0.0001355189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211743,"about_ca_topic_score_gemma":0.0001160544,"domain_scores_codex":[0.9971411,0.00006715256,0.0003559536,0.001106666,0.0003981898,0.0009309667],"domain_scores_gemma":[0.9982592,0.00004479688,0.0004098857,0.001148451,0.00003481013,0.0001028031],"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":[0.00008041122,0.0002720818,0.0000516525,0.0002876255,0.0005153863,0.00006998188,0.03341128,0.000004289632,0.09054822,0.00691556,0.8605103,0.007333237],"study_design_scores_gemma":[0.001435827,0.0002584948,0.00007540725,0.002556895,0.0003029493,0.00011158,0.08131356,0.00006646862,0.02460268,0.006657394,0.8794567,0.003162057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001014164,0.0004554809,0.005656203,0.00004065197,0.0002117189,0.00125737,0.0001763139,0.003318112,0.9887827],"genre_scores_gemma":[0.01766325,0.00004636496,0.2781543,0.00004087061,0.0002805048,0.0005226686,0.00007108993,0.004581462,0.6986395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2901433,"threshold_uncertainty_score":0.9995528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04829653178503331,"score_gpt":0.2824418545817794,"score_spread":0.2341453227967461,"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."}}