{"id":"W7025250713","doi":"","title":"Valuing data: Where are we, and where do we go next?","year":2023,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Corporate governance; Investment (military); Data governance; Focus (optics); Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002096427,0.0006651978,0.0009196169,0.000211954,0.0001799697,0.0003339032,0.0006389366,0.0003198566,0.02308889],"category_scores_gemma":[0.00002422147,0.0006686815,0.0001586386,0.0001610797,0.0001942486,0.0002381543,0.0004967364,0.0006160222,0.002060941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007602433,"about_ca_system_score_gemma":0.0001699969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004506299,"about_ca_topic_score_gemma":0.0005593429,"domain_scores_codex":[0.9972965,0.00008176873,0.0004998004,0.001177369,0.0002592248,0.0006853651],"domain_scores_gemma":[0.9975938,0.0003041186,0.0004799102,0.001221688,0.00004015704,0.0003603886],"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":[0.000006546666,0.00005353445,0.04299055,0.0001831325,0.0003739567,0.0000323074,0.00004534361,7.07648e-7,0.000004510006,0.07428166,0.8526598,0.02936795],"study_design_scores_gemma":[0.0006746995,0.00003492245,0.0003174158,0.001548021,0.0001796232,0.000007307893,0.0006134193,0.0006854997,0.000002154178,0.003968993,0.9911767,0.0007912116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001994847,0.1177554,0.01519281,0.003503248,0.01703933,0.002734236,0.02355007,0.00192526,0.8163048],"genre_scores_gemma":[0.008142134,0.0280124,0.006300136,0.0001457039,0.01145764,0.0003607064,0.0005454621,0.004111784,0.940924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1385169,"threshold_uncertainty_score":0.9995764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739478878856412,"score_gpt":0.2654156301029691,"score_spread":0.238020841314405,"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."}}