{"id":"W7061386929","doi":"","title":"Reporting e Controllo in una RSA durante il Covid","year":2021,"lang":"it","type":"book","venue":"CINECA IRIS Institutial Research Information System (University of Genoa)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Resource consumption","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":[0.004657906,0.0002185154,0.0002790776,0.001479355,0.0009288264,0.002847618,0.0006716131,0.0007803061,0.01178021],"category_scores_gemma":[0.02384672,0.0002480907,0.0004727023,0.001174607,0.0008016927,0.001655942,0.002036391,0.001629723,0.001549266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244411,"about_ca_system_score_gemma":0.001456754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095684,"about_ca_topic_score_gemma":0.01498816,"domain_scores_codex":[0.9966228,0.001310992,0.0004216416,0.0004224748,0.0005971788,0.0006249825],"domain_scores_gemma":[0.9689614,0.007633793,0.0158763,0.001872213,0.001964807,0.003691459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002471281,0.0002567807,0.9572237,0.0000622071,0.0000635749,0.000353435,0.004063534,0.0001818528,0.0001677717,0.001744649,0.003901239,0.03173413],"study_design_scores_gemma":[0.00002282864,0.0003809534,0.9786382,0.0001705211,0.00004971904,0.0003514702,0.006547587,0.000770412,0.0002321134,0.001296335,0.01148905,0.00005080633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647289,0.001491143,0.0008060837,0.00680861,0.0002042763,0.00009818348,0.001790352,0.00005706362,0.02401535],"genre_scores_gemma":[0.9922044,0.0006980952,0.0002916284,0.0005806945,0.0002105257,0.00005315446,0.0007894783,0.00001105016,0.005160971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02095684,"threshold_uncertainty_score":0.04166973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140961756578905,"score_gpt":0.2992607113918512,"score_spread":0.2378510938260621,"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."}}