{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003958038,0.0007231206,0.0002401851,0.0007319786,0.002264139,0.003583647,0.00153933,0.001338708,0.0135163],"category_scores_gemma":[0.005212198,0.0003601019,0.0005666551,0.0004526601,0.005397331,0.004570694,0.002759238,0.001076814,0.003268229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120266,"about_ca_system_score_gemma":0.002307536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009041189,"about_ca_topic_score_gemma":0.001650107,"domain_scores_codex":[0.9968263,0.001693049,0.0001443895,0.0005003253,0.0005833728,0.0002525926],"domain_scores_gemma":[0.9976828,0.0006351047,0.000267048,0.0008880875,0.0003903642,0.0001365841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002065028,0.00006106072,0.001192307,0.0002544959,0.00001852877,0.000187786,0.003164887,0.004209538,0.004282845,0.8779448,0.008435462,0.1002277],"study_design_scores_gemma":[0.00001670816,0.0001722294,0.001127636,0.0002006771,0.00002094488,0.0005470798,0.002773042,0.005561658,0.00674755,0.2518065,0.7309899,0.00003603166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02602958,0.0008695992,0.5703124,0.003909291,0.0005691643,0.000531571,0.0001147986,0.000985573,0.3966779],"genre_scores_gemma":[0.3636549,0.001999035,0.5450851,0.001160165,0.0002597596,0.0006465379,0.0002374122,0.0005090439,0.08644806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9977359,"threshold_uncertainty_score":0.04521656,"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."}}