{"id":"W7001001577","doi":"","title":"Il Mental Screening 360° (MS-360°): un Test di Screening per la Valutazione Ecologica del Funzionamento Cognitivo Quotidiano","year":2021,"lang":"it","type":"article","venue":"BOA (University of Milano-Bicocca)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive semantics; Test (biology); Cognitive impairment","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":[0.001353581,0.0007252023,0.0005374205,0.001376673,0.0004558183,0.001446992,0.0005513705,0.0007863797,0.01338833],"category_scores_gemma":[0.008016664,0.000202067,0.0007726343,0.0005702706,0.000610985,0.001262155,0.001391555,0.0008470276,0.002798628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168065,"about_ca_system_score_gemma":0.0009906782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563711,"about_ca_topic_score_gemma":0.00347976,"domain_scores_codex":[0.9986878,0.0002998068,0.0001347081,0.0002178382,0.0005398596,0.0001200177],"domain_scores_gemma":[0.9963816,0.001289429,0.0007374039,0.0003718449,0.0007969862,0.0004226461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002778521,0.002053368,0.4608857,0.001361168,0.0004942612,0.0004310694,0.004256501,0.002576766,0.02165609,0.009735524,0.03724673,0.4565243],"study_design_scores_gemma":[0.0001500414,0.002715309,0.9443937,0.0002967604,0.000149471,0.0008805423,0.001486169,0.003214014,0.00918833,0.00744144,0.02986933,0.0002149798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805107,0.001531964,0.02143299,0.001158031,0.0004800198,0.001916378,0.005862596,0.001187403,0.08592001],"genre_scores_gemma":[0.9416208,0.001436172,0.02646937,0.0007401097,0.0001260305,0.002464694,0.002937005,0.0001852827,0.02402048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01338833,"threshold_uncertainty_score":0.04478842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814752907581236,"score_gpt":0.2334476157774056,"score_spread":0.2053000867015933,"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."}}