{"id":"W6926927028","doi":"10.25545/bhmcou/8aw1hl","title":"README.pdf","year":2024,"lang":"de","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Work (physics); Product (mathematics); Identification (biology)","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001441926,0.00202615,0.001539744,0.001757239,0.0003346814,0.001094313,0.004102746,0.00153254,0.3744879],"category_scores_gemma":[0.001018194,0.002148977,0.0006042972,0.002095053,0.0008091271,0.0007760944,0.004641339,0.00371663,0.9998108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232282,"about_ca_system_score_gemma":0.001218549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008540972,"about_ca_topic_score_gemma":0.001021433,"domain_scores_codex":[0.990704,0.0005154848,0.001466581,0.003353515,0.001997136,0.001963259],"domain_scores_gemma":[0.9884831,0.0003172855,0.0006681386,0.009305649,0.0002031661,0.001022685],"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":[0.0002628563,0.0004924801,0.000004942391,0.001529214,0.001485566,0.009612106,0.0001005447,0.000007161463,0.0001008689,0.0001852827,0.9860443,0.0001746383],"study_design_scores_gemma":[0.001029995,0.0002204232,0.000002895899,0.001712284,0.00522584,0.0002261642,0.0003201161,0.0001534263,0.00004041604,0.0001611765,0.9887779,0.00212937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001170084,0.0005946764,0.000003068928,0.00007232065,0.009902505,0.001128265,0.9848785,0.0005289834,0.002880015],"genre_scores_gemma":[0.000002676064,0.002810524,0.0003321048,0.0006385067,0.004138946,0.00006544814,0.9734465,0.0006758191,0.01788951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6253229,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748802831551375,"score_gpt":0.2740547075873921,"score_spread":0.2565666792718783,"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."}}