{"id":"W2735024195","doi":"10.1016/j.apergo.2017.06.021","title":"Identifying the critical physical demanding tasks of paramedic work: Towards the development of a physical employment standard","year":2017,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Lakehead University; University of Waterloo","funders":"","keywords":"Work (physics); Task (project management); Matching (statistics); Job analysis; Computer science; Engineering; Psychology; Medicine; Job satisfaction; Systems engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001017005,0.0001431027,0.0003502024,0.0000282487,0.002065773,0.00001792002,0.0005326945,0.00008003603,0.00002311072],"category_scores_gemma":[0.0001462386,0.00008469648,0.00007485018,0.00006275871,0.0003252171,0.00007314281,0.0003058523,0.0005097198,0.00004833688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511202,"about_ca_system_score_gemma":0.0007064495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003531215,"about_ca_topic_score_gemma":0.00004347729,"domain_scores_codex":[0.998378,0.00007163084,0.0005835968,0.0001911725,0.0003416391,0.0004339553],"domain_scores_gemma":[0.9978346,0.0009784955,0.0004356535,0.0005528441,0.00009431389,0.0001041543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.005356055,0.0006550419,0.08270726,0.002370795,0.0003133265,0.000001342904,0.1492271,0.0002950688,0.0009042826,0.4541672,0.00330212,0.3007004],"study_design_scores_gemma":[0.001828565,0.0001293143,0.9583235,0.0006683167,0.0001127869,5.233677e-7,0.00540343,0.002239114,0.004444653,0.01145893,0.0150218,0.0003690573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931681,0.00003631163,0.002271839,0.000783269,0.0003863826,0.0005954808,0.0000254997,0.0000150988,0.002718046],"genre_scores_gemma":[0.9975119,0.00001774507,0.001476951,0.0002187154,0.0004970715,0.0002132508,0.000008419473,0.00001661502,0.00003932073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8756163,"threshold_uncertainty_score":0.9992334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456504402749561,"score_gpt":0.4680120282384924,"score_spread":0.3223615879635363,"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."}}