{"id":"W3083314989","doi":"10.1386/eme_00044_2","title":"Interviews with digital objects: A Special Issue on speaking with the digital","year":2020,"lang":"en","type":"article","venue":"Explorations in Media Ecology","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer graphics (images)","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":[0.01117774,0.001303398,0.001207773,0.002532535,0.01714421,0.01183879,0.001505692,0.006382542,0.0155243],"category_scores_gemma":[0.02836109,0.0009670919,0.0004752446,0.004595868,0.008660751,0.01666898,0.01232836,0.00839337,0.00256084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003509764,"about_ca_system_score_gemma":0.003172699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003943436,"about_ca_topic_score_gemma":0.008178988,"domain_scores_codex":[0.9861077,0.01065806,0.0004048735,0.0005128694,0.0009321417,0.001384339],"domain_scores_gemma":[0.9537401,0.04021448,0.001495329,0.0005430644,0.001331644,0.002675461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003228748,0.00005925006,0.0008644082,0.0002334138,0.000003950337,0.0005691687,0.9791779,0.00001814945,0.0007846681,0.002459341,0.009420236,0.006377331],"study_design_scores_gemma":[0.000003395128,0.00001652742,0.001108783,0.0003171178,0.000001801633,0.0001566103,0.93287,0.00002203597,0.0002071483,0.000485414,0.06479577,0.00001535724],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6673281,0.02432548,0.008093076,0.09203524,0.01308851,0.0006859847,0.001531718,0.0001773144,0.1927346],"genre_scores_gemma":[0.8792763,0.02060568,0.002616859,0.01778215,0.003432439,0.001241372,0.0009620332,0.0008076286,0.07327551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9828558,"threshold_uncertainty_score":0.05911422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114287051741238,"score_gpt":0.2559237651563702,"score_spread":0.2247808946389578,"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."}}