{"id":"W4365508800","doi":"10.3233/sji-230019","title":"Interview with George Sciadas, about his book ‘Number Savvy: From the Invention of Numbers to the Future of Data’1","year":2023,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Insider; Subtitle; Computer science; Management; Operations research; Library science; Mathematics; Epistemology; Artificial intelligence; Philosophy; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002957892,0.0004879936,0.0007201356,0.001520434,0.003751988,0.002997491,0.0007262764,0.003314673,0.008358719],"category_scores_gemma":[0.01359084,0.0004851038,0.0003412482,0.002332981,0.002880519,0.005826326,0.00127876,0.008477432,0.004073319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003278558,"about_ca_system_score_gemma":0.002416852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086494,"about_ca_topic_score_gemma":0.0581036,"domain_scores_codex":[0.9986111,0.0007512043,0.00005545749,0.0001399139,0.0003423416,0.0000999049],"domain_scores_gemma":[0.9948779,0.003900711,0.000186488,0.00005777106,0.000652193,0.0003249132],"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":[0.000008973369,0.000008498012,0.0002714142,0.00006897837,0.000001736885,0.0001787851,0.006517725,0.00003492109,0.00007720011,0.005889341,0.9803899,0.006552677],"study_design_scores_gemma":[0.000002971847,0.00001101619,0.000855267,0.0001765023,0.000002241205,0.0005046545,0.00735747,0.00005228018,0.00004880262,0.00167326,0.9892995,0.00001605492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005284967,0.05545299,0.002366152,0.8731174,0.01769925,0.0000766882,0.0006765557,0.000216416,0.04510956],"genre_scores_gemma":[0.039357,0.03839391,0.003354775,0.6554924,0.01494768,0.0002389742,0.0005294504,0.0004417661,0.247244],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02086494,"threshold_uncertainty_score":0.04148698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089885134067083,"score_gpt":0.4455545181051742,"score_spread":0.2365660046984659,"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."}}