{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004504846,0.0005673991,0.001620345,0.003163765,0.0008953991,0.000195475,0.001258219,0.001187824,0.0002342558],"category_scores_gemma":[0.004214822,0.0007610038,0.0003669421,0.001887344,0.0008360431,0.002655528,0.0008720714,0.002090797,0.0004890932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004628721,"about_ca_system_score_gemma":0.0036586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007591381,"about_ca_topic_score_gemma":0.00029282,"domain_scores_codex":[0.9930915,0.0003370663,0.002914171,0.0005856597,0.002038454,0.001033133],"domain_scores_gemma":[0.9929914,0.0003481228,0.002558652,0.001338282,0.002440448,0.0003230826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002295853,0.0002239022,0.002088779,0.0503238,0.002286691,0.006432267,0.03770125,0.5671231,0.01150433,0.1861257,0.0569388,0.07695555],"study_design_scores_gemma":[0.006766976,0.0002982501,0.0007574668,0.006401259,0.0001053253,0.0002425844,0.06848852,0.05699606,0.00159962,0.0001268589,0.8568277,0.001389326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02378543,0.001398687,0.4505984,0.0009501637,0.002332485,0.004782074,0.001190736,0.001304962,0.5136571],"genre_scores_gemma":[0.9784791,0.001360419,0.00474647,0.00003011487,0.0002460999,0.00001493025,0.0009462688,0.00006227534,0.01411431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9546937,"threshold_uncertainty_score":0.9994841,"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."}}