{"id":"W7010617610","doi":"","title":"Intelligenza artificiale e gestione dei dati in azienda","year":2019,"lang":"it","type":"other","venue":"Padua@thesis (Department of Information Engineering University of Padova)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Context (archaeology); Work (physics); Process (computing); Order (exchange)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003024401,0.0005693416,0.0007056264,0.002435679,0.0008510745,0.007577058,0.0008829121,0.001227741,0.01547137],"category_scores_gemma":[0.01775711,0.0004042253,0.0006769332,0.002206163,0.001361535,0.005181006,0.002244195,0.0008129156,0.005034192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040953,"about_ca_system_score_gemma":0.0009896391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089225,"about_ca_topic_score_gemma":0.004336131,"domain_scores_codex":[0.9973317,0.0008461495,0.0002126602,0.000556317,0.0009583824,0.00009474929],"domain_scores_gemma":[0.9906489,0.006333338,0.0004359896,0.001227219,0.001203278,0.0001512444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009768691,0.0003426792,0.01692629,0.002855896,0.0002425347,0.001362527,0.01101411,0.01918113,0.04216591,0.05738543,0.01673661,0.8308101],"study_design_scores_gemma":[0.0002339169,0.001421748,0.07847149,0.001902141,0.0007883523,0.00255396,0.01550072,0.1628801,0.08841421,0.1336624,0.5137986,0.0003723621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4480628,0.007635051,0.3833339,0.005298934,0.001032665,0.0007179861,0.004932391,0.006301721,0.1426846],"genre_scores_gemma":[0.7440582,0.003288757,0.2103697,0.0002980061,0.0002092562,0.0002810224,0.003407548,0.0005104396,0.03757706],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01547137,"threshold_uncertainty_score":0.05175686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051618470189697,"score_gpt":0.1853908575202716,"score_spread":0.1748746728183747,"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."}}