{"id":"W2794097872","doi":"10.4018/ijmhci.2018040102","title":"The Study and Design of Collaboration Tools for Flight Attendants","year":2018,"lang":"en","type":"article","venue":"International Journal of Mobile Human Computer Interaction","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Crew; Usability; Computer science; Work (physics); Smartwatch; Service (business); Human–computer interaction; Aeronautics; Engineering; Business; Wearable computer; Embedded 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":[0.01570613,0.0008172351,0.0006102221,0.001902908,0.004528658,0.00547168,0.002095666,0.002416199,0.002813715],"category_scores_gemma":[0.02692774,0.0007410531,0.0007905941,0.0009738476,0.003606066,0.003738507,0.003787852,0.001705335,0.0004709568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003385102,"about_ca_system_score_gemma":0.005905988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775479,"about_ca_topic_score_gemma":0.002331341,"domain_scores_codex":[0.9810923,0.01495928,0.0006904419,0.001010735,0.001138404,0.001108892],"domain_scores_gemma":[0.9781477,0.01502971,0.001385189,0.001082331,0.001944447,0.002410579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001147403,0.005267824,0.02805745,0.004511603,0.0001299222,0.002920497,0.6687871,0.003114817,0.0264761,0.04871086,0.003129783,0.2077467],"study_design_scores_gemma":[0.001222224,0.01566695,0.03909663,0.003270331,0.0003335274,0.003270978,0.6530328,0.01638032,0.02494272,0.02105824,0.2213982,0.0003270209],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551621,0.0009862158,0.1141353,0.001644526,0.00009159825,0.006517886,0.00008752895,0.0002537778,0.021121],"genre_scores_gemma":[0.8690366,0.0006718946,0.1217836,0.0003769087,0.00002236274,0.004233183,0.00007557149,0.00004175787,0.003758081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570613,"threshold_uncertainty_score":0.08306289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672659965839009,"score_gpt":0.4373199038575886,"score_spread":0.3705933041991984,"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."}}