{"id":"W2894379995","doi":"10.23880/eoij-16000167","title":"Development of the Ergonomic Activity Sampling (EAS) Method to Analyse Video-Documented Work Processes with Activity Sampling","year":2018,"lang":"en","type":"article","venue":"Ergonomics International Journal","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"École de technologie supérieure","keywords":"Sampling (signal processing); Work (physics); Industrial engineering; Human factors and ergonomics; Experience sampling method; Computer science; Manufacturing engineering; Engineering; Psychology; Mechanical engineering; Poison control; Computer vision; Medicine; Medical emergency; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001887859,0.001006661,0.0005042828,0.003480582,0.0002616604,0.0009719242,0.001066087,0.0007135199,0.002428815],"category_scores_gemma":[0.004867981,0.0004106471,0.000551977,0.002533722,0.0004347333,0.0007247271,0.0008706594,0.000678194,0.000916994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573959,"about_ca_system_score_gemma":0.0008929465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573283,"about_ca_topic_score_gemma":0.002873577,"domain_scores_codex":[0.9981207,0.0005473468,0.00015292,0.0003407501,0.0007676271,0.00007067388],"domain_scores_gemma":[0.9967074,0.001525176,0.0003107066,0.0002772113,0.001071735,0.0001077133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003004916,0.0002809098,0.01174631,0.0008671504,0.0001093603,0.0002527935,0.0009929145,0.007996624,0.1662812,0.008067671,0.001802357,0.8013023],"study_design_scores_gemma":[0.0002297503,0.002549997,0.1178599,0.0006813901,0.0003487202,0.003276623,0.002080313,0.5544147,0.2400096,0.01252047,0.06557208,0.0004565107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007536515,0.00009967873,0.9901119,0.00001694867,0.00003621172,0.0004971918,0.0002605004,0.0004399437,0.001001107],"genre_scores_gemma":[0.04346143,0.0001617029,0.9539958,0.00001795855,0.00002342897,0.0009721242,0.0003275475,0.00006276141,0.0009772809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003480582,"threshold_uncertainty_score":0.009984076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449337207709975,"score_gpt":0.3045704357192711,"score_spread":0.2700770636421714,"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."}}