{"id":"W6921394340","doi":"10.7281/t1/bmathh/tanvx2","title":"07_A3.tar.002","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":["open_science","insufficient_payload"],"category_scores_codex":[0.004409733,0.0007958859,0.001047045,0.002638731,0.002444013,0.0009366875,0.01390307,0.001175016,0.001014552],"category_scores_gemma":[0.001902087,0.0009576475,0.0002728783,0.004115195,0.00146585,0.001930418,0.02067878,0.005152371,0.01024013],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004121099,"about_ca_system_score_gemma":0.004607129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905433,"about_ca_topic_score_gemma":0.003256442,"domain_scores_codex":[0.9839445,0.005002365,0.0005523014,0.003610491,0.004825045,0.00206526],"domain_scores_gemma":[0.9791721,0.001073067,0.0004054031,0.01631676,0.001870874,0.001161789],"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":[0.0003158583,0.0006325943,0.00008029043,0.000376815,0.0005323092,0.02320179,0.00001895459,0.000002165268,0.0007497534,0.00007906948,0.9739371,0.00007331843],"study_design_scores_gemma":[0.0008333254,0.000111881,0.0002177259,0.0003868973,0.0003023876,0.0003380803,0.000543046,0.00007299472,0.0002214522,0.000004038484,0.9960925,0.0008756539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001637562,0.0008455773,0.000008192384,0.0001457829,0.0009803316,0.0007866255,0.9870543,0.0002269585,0.009788488],"genre_scores_gemma":[0.00003277541,0.001289486,0.0003475615,0.00001881073,0.001180455,0.000002071253,0.972971,0.0001292611,0.02402861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02286371,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185957692837745,"score_gpt":0.3942255488289645,"score_spread":0.17562977954519,"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."}}