{"id":"W4409813656","doi":"10.69554/dwol9250","title":"Pausing to reflect on AI, robotics and automation","year":2025,"lang":"en","type":"article","venue":"Journal of AI, robotics & workplace automation.","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Robotics; Artificial intelligence; Automation; Computer science; Engineering; Robot; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.002622348,0.0001883839,0.0003833678,0.000489563,0.00100348,0.0007885391,0.0003044393,0.0003034388,0.00002340617],"category_scores_gemma":[0.00296054,0.000183113,0.0001176691,0.0009804949,0.0001582999,0.0008762741,0.00006265768,0.0007624934,0.00001940944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495202,"about_ca_system_score_gemma":0.0009768994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008939381,"about_ca_topic_score_gemma":0.0002920701,"domain_scores_codex":[0.9975036,0.000355384,0.000710749,0.0001832347,0.0008560408,0.0003909872],"domain_scores_gemma":[0.997129,0.0007687631,0.0004631291,0.0001862196,0.001169054,0.000283782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001228735,0.000237614,0.002226169,0.00008388924,0.0002077813,0.00002763235,0.0170288,0.4736325,0.0004695304,0.4391874,0.05337733,0.0133985],"study_design_scores_gemma":[0.007062945,0.003535089,0.08841585,0.0111169,0.001604801,0.00007915217,0.02621311,0.07469273,0.00192482,0.6824915,0.09945006,0.003413047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06045466,0.0006238907,0.1978863,0.7051286,0.004102409,0.0008591011,0.000005324407,0.0002892299,0.03065055],"genre_scores_gemma":[0.9445395,0.0003214068,0.04071024,0.01168951,0.0006332683,0.000002090749,0.000002202481,0.00002613098,0.002075668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8840848,"threshold_uncertainty_score":0.7718055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576751327896309,"score_gpt":0.3842017323784488,"score_spread":0.3584342190994858,"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."}}