{"id":"W4391855205","doi":"10.1075/is.21025.ros","title":"A matter of consequences","year":2023,"lang":"en","type":"article","venue":"Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology","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":[0.000278628,0.00008795776,0.000255542,0.00009761168,0.0002138388,0.00002977258,0.00007230618,0.0001085727,0.0001722234],"category_scores_gemma":[0.00004324991,0.00007112366,0.00004110262,0.0001964626,0.0004363333,0.00006061597,0.00008455757,0.0001442177,0.0001025527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002469274,"about_ca_system_score_gemma":0.000003179635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000723269,"about_ca_topic_score_gemma":0.0001037914,"domain_scores_codex":[0.9988748,0.000357718,0.0004188722,0.0001583686,0.00006441579,0.0001258586],"domain_scores_gemma":[0.9992667,0.0003684373,0.0001713352,0.00008689809,0.00008295261,0.00002363538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004069022,0.0004817365,0.8262519,0.00004274176,0.0002206535,0.000009841483,0.0554916,0.000004930737,0.006936099,0.08497625,0.007049762,0.01812754],"study_design_scores_gemma":[0.0002976935,0.0001539475,0.6941267,0.00009504085,0.00002236066,0.00001959072,0.2967466,0.00001671488,0.0001220367,0.003616838,0.004575118,0.0002074039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927331,0.001021291,0.000004309521,0.0019001,0.0006684111,0.0001571319,0.00001052361,0.00003589904,0.003469282],"genre_scores_gemma":[0.9989225,0.0004866785,0.000003717482,0.0000686995,0.00006536369,0.0001188878,0.00001098674,0.00000398559,0.0003191832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241255,"threshold_uncertainty_score":0.2900339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3276657760044318,"score_gpt":0.4750425975561618,"score_spread":0.14737682155173,"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."}}