{"id":"W4400620457","doi":"10.1016/j.autcon.2024.105608","title":"Effect of human emotional responses on human-robot team pty in construction","year":2024,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Hudbay Minerals (Canada); University of Toronto","funders":"National Science Foundation","keywords":"Robot; Human–robot interaction; Computer science; Human–computer interaction; Psychology; Applied psychology; Engineering; Social psychology; Artificial intelligence","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":[0.002798506,0.0001748481,0.0003256732,0.00130303,0.0004644365,0.0000169259,0.0001003625,0.0003143095,0.0007121549],"category_scores_gemma":[0.0006225372,0.0001655223,0.00007213709,0.0008993499,0.0002270477,0.0003222382,0.00003576964,0.0008750999,0.000198754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007032884,"about_ca_system_score_gemma":0.0005069872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522359,"about_ca_topic_score_gemma":0.0002142132,"domain_scores_codex":[0.9955445,0.002060692,0.001102056,0.0003765205,0.0005363215,0.0003799184],"domain_scores_gemma":[0.9966248,0.002691316,0.0002182441,0.0002237036,0.0001575838,0.00008441375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044299,0.0001027802,0.7037677,0.0031092,0.00002489402,0.000009598338,0.0009695984,0.0003711067,0.006682703,0.1342077,0.0006847613,0.1490257],"study_design_scores_gemma":[0.002051846,0.0009420115,0.9796534,0.002381359,0.00001111741,0.00002469891,0.000469025,0.005765949,0.001683026,0.00646433,0.0003607479,0.0001924559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986864,0.00005129233,0.0002116684,0.0005364588,0.001577955,0.001350618,0.00004682603,0.0001866255,0.009174585],"genre_scores_gemma":[0.9984655,0.00002146087,0.0005426744,0.00003737615,0.0002475409,0.0002953058,0.0001563077,0.00002038636,0.0002134238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2758858,"threshold_uncertainty_score":0.7797596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07950960012246924,"score_gpt":0.5200543550678303,"score_spread":0.4405447549453611,"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."}}