{"id":"W4391151536","doi":"10.1177/13548565231224157","title":"The making of critical data center studies","year":2024,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Center (category theory); Sociology; 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":["metaresearch","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.004383533,0.00007492677,0.000131382,0.0001948775,0.0003301817,0.000257459,0.005678036,0.00008575575,0.00006547527],"category_scores_gemma":[0.03046077,0.00003661995,0.00006659417,0.0004053912,0.003848268,0.0006621811,0.001288076,0.0008341397,0.00001650916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801279,"about_ca_system_score_gemma":0.0008006854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001312022,"about_ca_topic_score_gemma":0.0004846638,"domain_scores_codex":[0.9969438,0.000176712,0.0003799586,0.0001471776,0.002063283,0.0002891123],"domain_scores_gemma":[0.9951268,0.002934863,0.0001254508,0.0003828917,0.001400828,0.00002918903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009847788,0.00002481217,0.001639103,0.00004768651,0.000416907,0.0001741858,0.03158704,0.000003459244,0.001013534,0.2368385,0.5061253,0.222031],"study_design_scores_gemma":[0.00008717968,0.00005580627,0.0001363361,0.0005778804,0.00001227397,0.0000309908,0.1106648,0.00008435712,0.003916272,0.3064675,0.577906,0.00006061249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0485315,0.07111799,0.0007261485,0.8623269,0.01582541,0.0002160772,0.00004102794,0.0001407528,0.001074195],"genre_scores_gemma":[0.9768812,0.02136818,0.0005570144,0.00006510143,0.0008716069,0.000002498787,6.861668e-7,0.000005917002,0.0002477612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9283497,"threshold_uncertainty_score":0.9997017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2457195914908463,"score_gpt":0.524982935327523,"score_spread":0.2792633438366767,"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."}}