{"id":"W4412850334","doi":"10.1177/14614448251338289","title":"Making everything ac-count-able: The digital twinning paradigm","year":2025,"lang":"en","type":"article","venue":"New Media & Society","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Crystal twinning; Crystallography","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":[0.0001627446,0.000190943,0.0001566929,0.00002731382,0.0001530779,0.0004600583,0.0003444217,0.0001766011,0.00005674448],"category_scores_gemma":[0.00006764825,0.0001616411,0.0001638192,0.0004508737,0.00006823488,0.0008803588,0.00004736756,0.0005632328,0.00006466808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803991,"about_ca_system_score_gemma":0.0001178467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004022591,"about_ca_topic_score_gemma":0.000002795806,"domain_scores_codex":[0.9988699,0.00000666742,0.0002951908,0.0001535501,0.0003079428,0.0003667745],"domain_scores_gemma":[0.9992883,0.0003300763,0.00003031424,0.0002626697,0.00002123932,0.0000673933],"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":[0.000007168027,0.00002902228,0.003750433,0.0003363495,0.0004834523,0.000006206847,0.03656157,0.03706232,0.0001942639,0.01246654,0.8032291,0.1058736],"study_design_scores_gemma":[0.001023468,0.000009480339,0.003791853,0.0006693237,0.0000703274,0.00001822183,0.01071108,0.02639129,0.0007735521,0.006257311,0.9496388,0.000645243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1449261,0.003427449,0.07153516,0.005869422,0.008429543,0.000865982,0.0001204267,0.00328277,0.7615432],"genre_scores_gemma":[0.9972466,0.00006852848,0.000589205,0.0008991191,0.000383588,0.00001852794,0.00002230638,0.00003368768,0.0007384264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8523206,"threshold_uncertainty_score":0.6591533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560622843519836,"score_gpt":0.2501890874994314,"score_spread":0.224582859064233,"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."}}