{"id":"W2964511826","doi":"10.33695/jss.v6i2.271","title":"Research Integrity - where are we?","year":2019,"lang":"en","type":"article","venue":"Journal of Surgical Sciences","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morality; Research ethics; Engineering ethics; Information ethics; Ethics of technology; Meta-ethics; Set (abstract data type); Applied ethics; Normative ethics; Political science; Sociology; Epistemology; Law; Computer science; Engineering; Philosophy","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":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03642899,0.00007042775,0.0003712898,0.0002634763,0.0001573151,0.00009670696,0.0006629211,0.0002629693,0.002607044],"category_scores_gemma":[0.004914682,0.00003858603,0.0001896055,0.001046709,0.001414705,0.0002172294,0.0002001691,0.005686538,0.000278273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103926,"about_ca_system_score_gemma":0.001157469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003552318,"about_ca_topic_score_gemma":0.00004391768,"domain_scores_codex":[0.9938934,0.0003755218,0.0005656301,0.0002307486,0.004502887,0.000431854],"domain_scores_gemma":[0.9831334,0.01416719,0.0002140304,0.000218679,0.001796027,0.0004706273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001136438,0.0009321472,0.8956858,0.0005036519,0.00007105978,0.002280956,0.0003504668,0.00002907766,0.001221251,0.06346878,0.02461668,0.009703707],"study_design_scores_gemma":[0.004807846,0.01027821,0.1105394,0.007336622,0.00003426104,0.00235322,0.01207323,0.0005018325,0.001508314,0.2137688,0.6364688,0.000329444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036069,0.001691159,0.000004889623,0.1426516,0.0003614916,0.0001125742,7.431258e-7,0.000005805273,0.05156484],"genre_scores_gemma":[0.9823731,0.009634667,0.000840729,0.0001138536,0.0004591495,6.422029e-7,5.477979e-8,0.000004837565,0.006572937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851464,"threshold_uncertainty_score":0.9983047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7502417836722373,"score_gpt":0.671216728426118,"score_spread":0.07902505524611925,"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."}}