{"id":"W4415206726","doi":"10.1177/10711813251370739","title":"Stop, Collaborate, and. . . Lessons Learned from Collaborative Human-AI System Development","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Sensemaking; Applications of artificial intelligence; Situation awareness; Work (physics); Joint (building); Decision support system","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":[0.02953318,0.0009569643,0.0004496844,0.001265777,0.004339394,0.009042458,0.003097225,0.002566862,0.002955922],"category_scores_gemma":[0.032191,0.0005771558,0.0005329595,0.0008666739,0.01164528,0.01433038,0.005975972,0.005219135,0.001013964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003636247,"about_ca_system_score_gemma":0.005792995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005516343,"about_ca_topic_score_gemma":0.01085231,"domain_scores_codex":[0.9790107,0.01523707,0.0004990479,0.001488851,0.002879413,0.0008849386],"domain_scores_gemma":[0.9565326,0.03039734,0.0007322296,0.003520863,0.004858551,0.003958303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000137981,0.0004382254,0.007917111,0.001456113,0.0001001657,0.001223904,0.09667848,0.004737735,0.001549538,0.1771607,0.06238607,0.6462141],"study_design_scores_gemma":[0.0001436154,0.0006407669,0.004645187,0.001984323,0.00006715932,0.002152036,0.1007993,0.009387847,0.003882401,0.3510614,0.5250505,0.0001854327],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1203141,0.02666336,0.2970107,0.4045943,0.003326147,0.000426667,0.0001718063,0.00100176,0.1464912],"genre_scores_gemma":[0.7074521,0.01832701,0.238539,0.01599259,0.0006764071,0.0004135561,0.0001674763,0.0004339717,0.01799783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02953318,"threshold_uncertainty_score":0.1561882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321794815940474,"score_gpt":0.3313955943071585,"score_spread":0.2992161127131111,"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."}}