{"id":"W2000721162","doi":"10.1177/154193120805201929","title":"A Tool to Evaluate Information Exchange in a Joint, Interagency, Multinational, and Public (JIMP) Environment","year":2008,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Defence Research and Development Canada","funders":"","keywords":"Multinational corporation; Information exchange; Identification (biology); Sample (material); Work (physics); Test (biology); Knowledge management; Computer science; Joint (building); Business; Engineering","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":[0.02235959,0.0008707349,0.0008932775,0.006944115,0.001097057,0.002690987,0.001023951,0.001126295,0.002995512],"category_scores_gemma":[0.06840855,0.0003848827,0.001007615,0.00450724,0.000744909,0.005708524,0.003112717,0.0007527052,0.000838859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181586,"about_ca_system_score_gemma":0.001362149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008235748,"about_ca_topic_score_gemma":0.001035849,"domain_scores_codex":[0.9806143,0.01040248,0.003386314,0.0008207958,0.004034027,0.0007420865],"domain_scores_gemma":[0.8577771,0.1061097,0.01616421,0.004785462,0.01261413,0.002549412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001410002,0.003506073,0.5138739,0.002281963,0.00035394,0.0003013305,0.02292162,0.003127351,0.007444053,0.004376932,0.006692859,0.4337099],"study_design_scores_gemma":[0.0003181266,0.008140182,0.879724,0.001147492,0.0003432623,0.0007651892,0.04123335,0.01436539,0.01154787,0.005729579,0.03632662,0.0003589682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315658,0.0003786338,0.04862273,0.0003967624,0.00006981084,0.003889373,0.001938363,0.0006987275,0.01243988],"genre_scores_gemma":[0.8784764,0.0003962455,0.1108551,0.0002136868,0.00004705787,0.005153383,0.002794144,0.00007340769,0.001990569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235959,"threshold_uncertainty_score":0.1182503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033191489846651,"score_gpt":0.2597121926662827,"score_spread":0.2293802777678162,"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."}}