{"id":"W2754094282","doi":"10.17742/image.ld.8.2.3","title":"The Factories of the Past Are Turning Into the Data Centres of the Future","year":2017,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Capitalism; Economy; Politics; Political science; Ethnology; Art; History; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0006070866,0.0001354089,0.0002251885,0.00001324382,0.006899485,0.001885114,0.003328369,0.00003553941,0.0000087168],"category_scores_gemma":[0.005210498,0.00004358728,0.0001795795,0.0001544821,0.0132751,0.005741531,0.0008356447,0.0003848101,5.927745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006719439,"about_ca_system_score_gemma":0.0001190298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000304198,"about_ca_topic_score_gemma":0.002317379,"domain_scores_codex":[0.9983624,0.0001783562,0.0004085029,0.0001104022,0.0007303052,0.0002099863],"domain_scores_gemma":[0.9915273,0.0002186884,0.001915171,0.000726735,0.005586523,0.00002555253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004371612,0.00004508099,0.6654888,0.00005928236,0.0006650769,0.000003800817,0.1921033,0.00002561179,0.004790272,0.03135056,0.09490664,0.01051793],"study_design_scores_gemma":[0.0001883021,0.000008601115,0.7030492,0.000102098,0.00006848039,0.000005401914,0.07747996,0.000001773121,0.001666211,0.007739648,0.2096244,0.00006588544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145774,0.01183807,0.000008504559,0.1633552,0.00383136,0.000253236,0.0001532989,0.000007153682,0.005975755],"genre_scores_gemma":[0.9953092,0.002420548,0.0001174569,0.00007328886,0.001088804,0.000001648938,6.975903e-7,0.000005419903,0.0009829844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1807318,"threshold_uncertainty_score":0.9991511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589901782787832,"score_gpt":0.4166100481983477,"score_spread":0.3807110303704694,"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."}}