{"id":"W4323322148","doi":"10.5204/ssj.2860","title":"Editorial Volume 14 Issue 1 2023","year":2023,"lang":"en","type":"article","venue":"Student Success","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Generative grammar; Public relations; Engineering ethics; Political science; Broad spectrum; Best practice; Computer science; Engineering; Artificial intelligence; Law","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":[0.0003609726,0.00009613401,0.0001693607,0.0001239284,0.000150276,0.00004006983,0.000140561,0.0001091214,0.001124953],"category_scores_gemma":[0.0001909041,0.00008795995,0.00005653165,0.0005241496,0.0000424204,0.0000889313,0.00005788678,0.0001880817,0.009253277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008045085,"about_ca_system_score_gemma":0.00013179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072845,"about_ca_topic_score_gemma":0.0001229161,"domain_scores_codex":[0.9986128,0.00002912095,0.0002848308,0.0002306443,0.0005360525,0.0003065166],"domain_scores_gemma":[0.9992437,0.00007505219,0.00004767879,0.0002438091,0.0002384062,0.000151391],"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":[0.00003474577,0.00007683421,0.1850339,0.00004505579,0.00001757049,0.000006854559,0.001410784,0.000009969317,0.00009644491,0.00003648307,0.8061603,0.007071023],"study_design_scores_gemma":[0.00008557132,0.0002126649,0.08505736,0.00005941589,0.00003789028,0.000002665645,0.003463239,0.0001025215,0.00109026,0.000322966,0.9094276,0.0001378615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7584499,0.00007991647,0.00002552484,0.009831516,0.2247392,0.0004414295,0.000006070426,0.0002372106,0.006189193],"genre_scores_gemma":[0.7825251,0.0001498336,0.0000168739,0.0003636538,0.1878384,0.00008002338,0.00007883555,0.00002042512,0.02892689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032673,"threshold_uncertainty_score":0.9997882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08465742202072907,"score_gpt":0.46712206877333,"score_spread":0.3824646467526009,"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."}}