{"id":"W4387860167","doi":"10.52842/conf.acadia.2020.1.330","title":"Designing [with] Machines","year":2020,"lang":"en","type":"article","venue":"ACADIA quarterly","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.0003372612,0.00007949575,0.0001130034,0.00001928156,0.0004938682,0.0001976544,0.0002181185,0.0001172908,0.0001334612],"category_scores_gemma":[0.0001949433,0.00006533071,0.00003976073,0.0002048857,0.0001815277,0.0004156007,0.000005033397,0.0002523998,0.000143922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002001074,"about_ca_system_score_gemma":0.0001643622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823005,"about_ca_topic_score_gemma":0.001028471,"domain_scores_codex":[0.9990503,0.0001290916,0.0001004863,0.0001493952,0.0002842163,0.0002864625],"domain_scores_gemma":[0.999328,0.0001610408,0.00004638857,0.00006381877,0.00008918613,0.0003115893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004581789,0.00003153296,0.006931656,0.00001810949,0.0000593113,0.00004773785,0.7476501,0.000005134606,0.001592625,0.1430318,0.01096209,0.089624],"study_design_scores_gemma":[0.002352048,0.005030591,0.01552582,0.0001290188,0.0001592957,0.00000398728,0.1927349,0.0004035946,0.0007459992,0.1138688,0.6670006,0.002045342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3840143,0.000266545,0.003937096,0.3376539,0.000358909,0.0005010421,0.00001021049,0.0005529929,0.272705],"genre_scores_gemma":[0.9916592,0.00001668693,0.001320539,0.006000075,0.0006311729,0.000004280839,0.000001444695,0.00001235059,0.0003542553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6560385,"threshold_uncertainty_score":0.3798485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525884354746067,"score_gpt":0.3277095985718511,"score_spread":0.2824507550243904,"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."}}