{"id":"W3049722008","doi":"","title":"aka The Analogue University) Correlation in the data university","year":2019,"lang":"en","type":"article","venue":"ACME: An International Journal for Critical Geographies","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"AKA; Computer science; Library science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005261165,0.0003783514,0.0008524769,0.004202545,0.001928902,0.008184259,0.00102554,0.0018973,0.0226583],"category_scores_gemma":[0.0419468,0.0005212573,0.0007879588,0.01124579,0.002330738,0.004779462,0.004555597,0.002837882,0.005047426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641711,"about_ca_system_score_gemma":0.003366701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008553424,"about_ca_topic_score_gemma":0.007927416,"domain_scores_codex":[0.9925291,0.002633203,0.0005009243,0.001834021,0.001756785,0.0007458613],"domain_scores_gemma":[0.9796103,0.008326039,0.002620219,0.003821561,0.004600537,0.001021402],"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":[0.0004084432,0.0001500508,0.09110318,0.0003196169,0.0001382454,0.0006780184,0.001092002,0.00902308,0.001031508,0.6120275,0.03901506,0.2450133],"study_design_scores_gemma":[0.000103931,0.0002584168,0.1092535,0.0004240742,0.0002380063,0.001836954,0.001702845,0.1059691,0.00997888,0.4377739,0.3321402,0.0003202038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3767583,0.01350378,0.3224466,0.02348621,0.00660545,0.0003891659,0.006289508,0.001861784,0.2486592],"genre_scores_gemma":[0.9294724,0.001457978,0.02577104,0.000699655,0.001178393,0.0001180378,0.0007556841,0.0001845264,0.0403622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0226583,"threshold_uncertainty_score":0.07579964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564791115608619,"score_gpt":0.4129735326810571,"score_spread":0.2564944211201952,"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."}}