{"id":"W2334146296","doi":"10.1177/154193120204600124","title":"Ecological Interface Design in Aviation Domains: Work Domain Analysis and Instrumentation Availability of the Harvard Aircraft","year":2002,"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":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aviation; Domain (mathematical analysis); Instrumentation (computer programming); Work (physics); Interface (matter); Computer science; Process (computing); Domain analysis; Phase (matter); Systems engineering; Aeronautics; Operations research; Engineering; Aerospace engineering; Mechanical engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007883173,0.0001405397,0.0002666458,0.00005957168,0.0002800961,0.00004368504,0.0001897833,0.0001335397,0.0002266653],"category_scores_gemma":[0.0001033289,0.00009496693,0.0001983017,0.0003462708,0.0002393001,0.0002133269,0.000130986,0.000228016,0.000001839294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125657,"about_ca_system_score_gemma":0.000004687084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007707567,"about_ca_topic_score_gemma":0.00003076985,"domain_scores_codex":[0.9988436,0.00007746186,0.000549327,0.0002587185,0.0001136016,0.0001573524],"domain_scores_gemma":[0.9990468,0.0001791477,0.0005481113,0.00009742285,0.00009481827,0.00003369186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005457272,0.0001435151,0.9287997,0.00003821469,0.0002142839,1.434624e-8,0.06659332,0.0001126064,0.001873462,0.001251424,0.000622636,0.0002962249],"study_design_scores_gemma":[0.000416727,0.00004730533,0.9762033,0.00004326932,0.00008225283,5.582575e-7,0.0206065,0.0005212688,0.001224486,0.0006433553,0.0001064041,0.0001045612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987027,0.00002146297,0.0001107042,0.0001641577,0.0001227902,0.0002702966,0.00001185605,0.00001748767,0.0005785226],"genre_scores_gemma":[0.9990115,0.00001827904,0.0007181922,0.00006078685,0.00001925512,0.00001330581,0.00000125732,0.000007648167,0.0001497651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04740359,"threshold_uncertainty_score":0.3872639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525393059673512,"score_gpt":0.2786657977416727,"score_spread":0.2534118671449375,"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."}}