{"id":"W4398776666","doi":"10.33621/jdsr.v6i2.211","title":"Dwelling as method: Lingering in/with feminist curated data sets on Instagram","year":2024,"lang":"en","type":"article","venue":"Journal of Digital Social Research","topic":"Architecture and Computational Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","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":[0.0009829897,0.00009779992,0.0001616492,0.0003780194,0.00008591772,0.0004632337,0.0003516056,0.00005915005,0.000009313927],"category_scores_gemma":[0.0001703157,0.00007627312,0.00004320423,0.0007042544,0.00004237589,0.0003676079,0.00007509246,0.000970441,0.0000318766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295108,"about_ca_system_score_gemma":0.0002203503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005050036,"about_ca_topic_score_gemma":0.000003912802,"domain_scores_codex":[0.9985238,0.00006218041,0.0002663815,0.000136299,0.0007452643,0.0002660303],"domain_scores_gemma":[0.9989501,0.0007424864,0.00002386231,0.00009182285,0.0001069861,0.00008471073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003241404,0.0001030273,0.0001668733,0.0002346881,0.0002833299,0.001796843,0.003856148,0.106208,0.0006295965,0.003310976,0.003518927,0.8795674],"study_design_scores_gemma":[0.002160272,0.003386631,0.002930099,0.003462029,0.00007039109,0.0009696386,0.004425921,0.6579287,0.004035286,0.1084688,0.2107583,0.001404007],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993099,0.002153664,0.0873025,0.001776407,0.0006806285,0.0004215379,0.0001064808,0.0002363584,0.1080125],"genre_scores_gemma":[0.9982572,0.00002672465,0.001230145,0.00001341279,0.0003601359,0.000001527761,0.00001089536,0.0000316127,0.00006839263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8781635,"threshold_uncertainty_score":0.4466973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1465904440458874,"score_gpt":0.444223354917962,"score_spread":0.2976329108720746,"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."}}