{"id":"W4317566678","doi":"10.1089/aut.2022.29022.ack","title":"Acknowledgment of Reviewers 2022","year":2023,"lang":"en","type":"article","venue":"Autism in Adulthood","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Nike; Psychology; Library science; Computer science; Advertising","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007583572,0.0001053069,0.0003500985,0.0005023005,0.00005435848,0.0001241676,0.001894549,0.0001174282,0.0007198303],"category_scores_gemma":[0.00929862,0.00007917604,0.00009305103,0.003676437,0.00006380746,0.0006590964,0.0004801677,0.0003223807,0.001883343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004086408,"about_ca_system_score_gemma":0.0001002677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004274406,"about_ca_topic_score_gemma":0.00002914264,"domain_scores_codex":[0.9968578,0.0002761024,0.0008764027,0.0004228255,0.00125692,0.0003100154],"domain_scores_gemma":[0.9981109,0.0008144232,0.0002767083,0.0005864956,0.0001161565,0.00009527809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001377245,0.00006635064,0.0553558,0.00003487915,0.00001094857,0.0000225836,0.002645299,0.00008064347,0.0002413714,0.01258147,0.5888554,0.3400914],"study_design_scores_gemma":[0.001295567,0.0001070343,0.4576467,0.0005524654,0.00001357213,0.000007854871,0.004328923,0.003206745,0.0008282376,0.1757137,0.3558483,0.0004507954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038523,0.004259909,0.0004758628,0.02220051,0.004235974,0.0007245887,0.00006209714,0.0001975099,0.06399126],"genre_scores_gemma":[0.9922037,0.0008906242,0.0002609198,0.0003574538,0.00004698795,0.0000268887,0.000007829508,0.00001036045,0.006195202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4022909,"threshold_uncertainty_score":0.9990465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07720263084399906,"score_gpt":0.4053613196356538,"score_spread":0.3281586887916548,"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."}}