{"id":"W6890255265","doi":"10.34894/lri0ye","title":"Many, instead of Big","year":2024,"lang":"en","type":"dataset","venue":"Research portal (Tilburg University)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interview; Permission; Server; Identity (music); Data collection","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","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002062842,0.0005647785,0.0008863719,0.01240544,0.0002457288,0.0001150039,0.002819852,0.0008418289,0.002860063],"category_scores_gemma":[0.0004087758,0.0006197632,0.0004952999,0.008996318,0.001435462,0.0003033236,0.002764769,0.003581325,0.0486555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583061,"about_ca_system_score_gemma":0.002326763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180998,"about_ca_topic_score_gemma":0.001156776,"domain_scores_codex":[0.9929428,0.0007162974,0.0005076809,0.001235445,0.003199845,0.001397941],"domain_scores_gemma":[0.9957049,0.000351166,0.0002797702,0.0020116,0.001011373,0.0006411462],"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":[0.0002038297,0.0003046898,0.00002163479,0.001115312,0.000474174,0.01551716,0.00002943251,0.000002851368,0.0002323979,0.003430183,0.9783703,0.0002980526],"study_design_scores_gemma":[0.0004795994,0.0002750182,0.000027745,0.0007473966,0.0002162074,0.00004082259,0.0008348335,0.000007318865,0.0001698301,0.0001887563,0.9965087,0.0005037311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005786819,0.0003306344,7.95915e-7,0.0000510608,0.0004791616,0.0006465181,0.9074708,0.0001429454,0.09029937],"genre_scores_gemma":[0.0009338213,0.000990328,0.00001284439,0.000005927482,0.0003450804,0.000002462005,0.9440635,0.000138088,0.05350797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04579544,"threshold_uncertainty_score":0.9996254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0910526920534867,"score_gpt":0.3488986635933692,"score_spread":0.2578459715398825,"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."}}