{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008010565,0.0001176723,0.0001920407,0.000246563,0.0002114885,0.0002835758,0.0003317153,0.00004835894,0.0004321749],"category_scores_gemma":[0.00007928399,0.00008868153,0.00008928972,0.00007458458,0.00009062704,0.0006571127,0.00004517535,0.0001513761,0.00002412473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031444,"about_ca_system_score_gemma":0.00003631774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009855643,"about_ca_topic_score_gemma":0.00002899317,"domain_scores_codex":[0.9982437,0.0002512626,0.0009025774,0.0001594119,0.00033548,0.0001075581],"domain_scores_gemma":[0.9957818,0.0008199995,0.001011262,0.0001487424,0.002194454,0.00004368941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008204415,0.00371322,0.003124706,0.00002573769,0.004294781,0.00005149748,0.05442189,0.001687865,0.01630799,0.01463957,0.1346805,0.7588478],"study_design_scores_gemma":[0.02214169,0.03589226,0.1315933,0.0007307483,0.0004508674,0.001999342,0.05338866,0.04600459,0.01364424,0.003946298,0.6890656,0.001142492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7985396,0.0000493451,0.1844332,0.0004803503,0.01482718,0.000900502,0.00001426961,0.00002474706,0.000730764],"genre_scores_gemma":[0.9965109,0.000009149075,0.001049885,0.0001188006,0.001806139,0.00006050109,0.000005685013,0.0000135673,0.0004254222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7577053,"threshold_uncertainty_score":0.4732012,"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."}}