{"id":"W6925233799","doi":"10.17605/osf.io/96v8u","title":"PSYC 6000 Lab 1 Assignment Derek","year":2023,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Big data; Visualization; Section (typography); Filter (signal processing); Sample size determination; Software; Coding (social sciences)","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":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.007539331,0.0004559861,0.0009095382,0.0005405929,0.001755019,0.0002022128,0.005582636,0.001318627,0.01942028],"category_scores_gemma":[0.002135384,0.0003861383,0.00007587136,0.002715696,0.0004693693,0.0002583467,0.00187389,0.003068024,0.03669059],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946871,"about_ca_system_score_gemma":0.009168509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039296,"about_ca_topic_score_gemma":0.007634582,"domain_scores_codex":[0.9926551,0.000807936,0.0009673546,0.001487274,0.001514414,0.002567903],"domain_scores_gemma":[0.9944707,0.001269286,0.000979916,0.002386548,0.0001489767,0.0007446213],"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":[0.000008183659,0.00003492302,0.002006135,0.0002358575,0.00001897648,0.00001109438,0.0007625473,7.753991e-7,0.000006978803,0.0165806,0.9688001,0.01153383],"study_design_scores_gemma":[0.0002564466,0.00009056862,0.0004636088,0.005866947,0.0000121813,0.000001593848,0.0008273441,0.00002258406,0.000003023466,0.003415625,0.9886162,0.0004238264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003335446,0.0005850648,0.001935494,0.0040078,0.01295259,0.00557234,0.00006790481,0.000983643,0.9738618],"genre_scores_gemma":[0.0007471519,0.0005400295,0.007019709,0.003800147,0.002094726,0.001691202,0.000007534529,0.001311117,0.9827884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01981615,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248154934227731,"score_gpt":0.542215607027573,"score_spread":0.4174001136047998,"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."}}