{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01038239,0.0004235834,0.0004432225,0.0007255853,0.009259868,0.009421854,0.0007205015,0.007856413,0.01040445],"category_scores_gemma":[0.04475253,0.0003550948,0.00060144,0.0004486867,0.01152833,0.008921362,0.004459664,0.01740771,0.006505724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596716,"about_ca_system_score_gemma":0.003079508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737963,"about_ca_topic_score_gemma":0.002926406,"domain_scores_codex":[0.9818158,0.01367844,0.0003300883,0.0004219788,0.002496407,0.001257315],"domain_scores_gemma":[0.9610308,0.01490887,0.004707944,0.001601593,0.006792745,0.01095799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001101037,0.0002411819,0.00963648,0.0002784437,0.000106034,0.001495447,0.2078503,0.0002440892,0.003820589,0.07649474,0.6220926,0.07762997],"study_design_scores_gemma":[0.000007896834,0.00007301188,0.002822044,0.0002903834,0.00001424103,0.001333326,0.1129487,0.0001492519,0.0005191753,0.02315027,0.8586363,0.00005537854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03154433,0.006407195,0.004348101,0.8765528,0.01342561,0.0000350137,0.00003183841,0.00008300957,0.06757212],"genre_scores_gemma":[0.4395454,0.008691765,0.003018586,0.4375315,0.008321539,0.0001139497,0.00004632016,0.0002152813,0.1025156],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01040445,"threshold_uncertainty_score":0.05490804,"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."}}