{"id":"W4400522244","doi":"10.2196/64227","title":"LTP Prod Release Test. (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Test (biology); Web of science; Medical education; Psychology; Computer science; Library science; MEDLINE; Medicine; World Wide Web; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003606088,0.0009035574,0.0009881482,0.005495896,0.00121179,0.006110788,0.001541455,0.001353869,0.7340418],"category_scores_gemma":[0.02299644,0.0005702059,0.0008878908,0.005157149,0.0005676145,0.003325093,0.002321758,0.001397659,0.6128452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610152,"about_ca_system_score_gemma":0.003401259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005087914,"about_ca_topic_score_gemma":0.004747739,"domain_scores_codex":[0.9974475,0.0002381292,0.0002606014,0.0002787217,0.001591421,0.0001836144],"domain_scores_gemma":[0.9819555,0.003167299,0.0007744724,0.001878704,0.01039416,0.001829917],"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":[0.000264199,0.00008114082,0.0005198803,0.0004981701,0.00001358176,0.0001043944,0.00007460287,0.00006269324,0.0007068429,0.001299388,0.9194778,0.07689727],"study_design_scores_gemma":[0.0001147601,0.0001370865,0.003412838,0.000278865,0.00001775584,0.0001175421,0.0001319778,0.0001795049,0.001224318,0.001944782,0.9924178,0.00002261983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007044442,0.002082726,0.006248122,0.01557105,0.01574135,0.001803309,0.2351672,0.02606203,0.6902797],"genre_scores_gemma":[0.01662025,0.001712506,0.005245969,0.002167301,0.002879595,0.0007905245,0.08840272,0.007888688,0.8742924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2659582,"threshold_uncertainty_score":0.379357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0600343607489625,"score_gpt":0.4121983634863507,"score_spread":0.3521640027373882,"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."}}