{"id":"W6950661341","doi":"10.5683/sp2/cyrzhe","title":"EUROSEM CSR Dataset","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"European commission; Commission; Politics; European union; Corporate social responsibility; Focus (optics)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004059284,0.0006340214,0.0007009293,0.0002697397,0.0001216653,0.0003665975,0.001459729,0.0004733416,0.001589636],"category_scores_gemma":[0.0006785995,0.0006458517,0.0001684342,0.0004826808,0.0001404792,0.0002222232,0.0007879821,0.0007598893,0.006754855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530923,"about_ca_system_score_gemma":0.0003578139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09930159,"about_ca_topic_score_gemma":0.07724518,"domain_scores_codex":[0.9965859,0.0003261372,0.0005133592,0.001020149,0.0009003343,0.000654134],"domain_scores_gemma":[0.9945956,0.0001161423,0.0003609726,0.004483807,0.0001332317,0.0003102666],"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":[0.00001952651,0.0001670691,7.275484e-7,0.0001147151,0.0001160293,0.001659322,0.000003438618,0.000001091594,0.0000212385,0.000008915397,0.9977714,0.0001165647],"study_design_scores_gemma":[0.0003107623,0.00002554344,0.00008652686,0.00009586061,0.000312693,0.0001099758,0.00001247118,0.000001303141,0.00004710183,0.00001311652,0.9983152,0.0006694588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.194611e-7,0.0006205263,6.018667e-7,0.00008018821,0.0003157093,0.0002442522,0.9981498,0.0001398972,0.0004487852],"genre_scores_gemma":[2.729418e-8,0.0005230278,0.00006995168,0.001047519,0.0008247899,0.00005504993,0.9972038,0.0001861685,0.00008971895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02205641,"threshold_uncertainty_score":0.9995993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396842070186703,"score_gpt":0.3022203044911184,"score_spread":0.2682518837892514,"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."}}