{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004218397,0.00238499,0.002506301,0.00323481,0.002912079,0.01199157,0.002608221,0.007859726,0.1671353],"category_scores_gemma":[0.0193246,0.0008748005,0.00216963,0.001534268,0.001740416,0.003853822,0.001756772,0.008674501,0.09650501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956273,"about_ca_system_score_gemma":0.002350359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008440092,"about_ca_topic_score_gemma":0.001751003,"domain_scores_codex":[0.9960977,0.0004593233,0.0003484924,0.0005444688,0.002184834,0.0003650644],"domain_scores_gemma":[0.9846535,0.002834143,0.001048747,0.0007330391,0.00760612,0.003124361],"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":[0.00002610935,0.00001707152,0.00004684218,0.000155245,0.00000640453,0.00007253391,0.000009489422,0.00001250991,0.00006743189,0.0002286859,0.992459,0.006898651],"study_design_scores_gemma":[0.00002181041,0.000025484,0.0002336414,0.0002957323,0.00001124281,0.0001078392,0.00003728691,0.00005974785,0.00008983698,0.0003344929,0.9987732,0.000009747227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007998601,0.00127183,0.0001071919,0.01279291,0.9757084,0.00004273677,0.0001137982,0.0001748929,0.009708297],"genre_scores_gemma":[0.0008386979,0.002238539,0.0001204455,0.01289335,0.9288669,0.00004112746,0.0001729283,0.0001357375,0.05469228],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.8328647,"threshold_uncertainty_score":0.5591232,"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."}}