{"id":"W4313034417","doi":"10.1177/1071181322661062","title":"Empathy from Afar? Towards Empathy for Future Maritime Designers and Remote Operators","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Empathy; Relevance (law); Context (archaeology); Knowledge management; Value (mathematics); Domain (mathematical analysis); Work (physics); Knowledge sharing; Psychology; Computer science; Engineering; Social psychology; Political science; Geography","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":[0.01131929,0.0005782945,0.0003911285,0.001159257,0.007089491,0.009406568,0.0007181324,0.003311969,0.006008802],"category_scores_gemma":[0.01784136,0.0005308004,0.0005725239,0.0004271372,0.009070441,0.007668654,0.009770234,0.005096326,0.001127553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689886,"about_ca_system_score_gemma":0.002526053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008330278,"about_ca_topic_score_gemma":0.001048795,"domain_scores_codex":[0.9892074,0.008164436,0.000178755,0.000627679,0.001065472,0.0007562662],"domain_scores_gemma":[0.9888791,0.005721713,0.00156078,0.0006061376,0.0013261,0.001906156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007089147,0.000134946,0.008350946,0.0002296251,0.00002791649,0.0007198543,0.9166606,0.0001448987,0.005309995,0.02002052,0.006245081,0.04208478],"study_design_scores_gemma":[0.00004720157,0.0004647858,0.01545683,0.001105592,0.00007410384,0.003466103,0.7907974,0.001357666,0.002845977,0.03225999,0.1519738,0.0001506865],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667546,0.004606645,0.05603921,0.05318968,0.000763574,0.0001701765,0.00003408493,0.0002920868,0.1181498],"genre_scores_gemma":[0.9818259,0.0009508127,0.006838709,0.003640351,0.00004273037,0.00007736785,0.00001290885,0.00004207324,0.006569178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131929,"threshold_uncertainty_score":0.05986279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020847904563165,"score_gpt":0.2851105080195769,"score_spread":0.2642626034564119,"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."}}