{"id":"W4404305473","doi":"10.1159/000542084","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Gerontology","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Psychology; Medicine; Computer science; Computer security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003466208,0.00007961742,0.0001946046,0.00009880632,0.0001458175,0.000005743924,0.00009976477,0.00010317,0.003614396],"category_scores_gemma":[0.0001166683,0.00006707852,0.00005277293,0.0001881685,0.00001677128,0.00002844121,0.00006021733,0.0002011887,0.01678293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591013,"about_ca_system_score_gemma":0.0001349471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009000092,"about_ca_topic_score_gemma":0.0004891928,"domain_scores_codex":[0.9989337,0.0001593098,0.0002378282,0.0002271915,0.0000718364,0.0003701074],"domain_scores_gemma":[0.9994335,0.0001638446,0.00001912005,0.0002135398,0.00007154011,0.00009841597],"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":[0.0000116154,0.000007154829,0.0002959548,0.0002322972,0.0000153617,0.00001170767,0.004725322,1.888552e-7,0.00005885901,0.00352355,0.9069791,0.08413885],"study_design_scores_gemma":[0.00008685972,0.00006612325,0.00246933,0.0001666063,0.00002430434,0.000002226835,0.001039026,0.000005473209,0.000006367606,0.0004750448,0.9955857,0.00007295402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1207462,0.08160647,0.008823236,0.08280923,0.08867159,0.002958168,0.0000287809,0.001453729,0.6129026],"genre_scores_gemma":[0.7915027,0.001238763,0.003971472,0.00772153,0.005167082,0.0008697995,0.00004938188,0.00009128969,0.189388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6707565,"threshold_uncertainty_score":0.9972965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109158520450892,"score_gpt":0.4832584860123496,"score_spread":0.3740999655614576,"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."}}