{"id":"W6959381440","doi":"10.11587/gxapi7/mrkbol","title":"10722_da05_de_v1_0.zsav","year":2021,"lang":"en","type":"dataset","venue":"AUSSDA - The Austrian Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Table (database); Data collection; Quarter (Canadian coin)","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts","open_science","insufficient_payload"],"category_scores_codex":[0.006627704,0.001057259,0.001147213,0.0007240152,0.004620051,0.002096302,0.02853448,0.0004408123,0.001723924],"category_scores_gemma":[0.005269478,0.0008008582,0.0003140369,0.006270101,0.01026862,0.001839785,0.0184689,0.002893128,0.01501125],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318004,"about_ca_system_score_gemma":0.005812524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538915,"about_ca_topic_score_gemma":0.002938935,"domain_scores_codex":[0.9877082,0.001299554,0.001053051,0.003335714,0.004125753,0.002477795],"domain_scores_gemma":[0.9870338,0.001083132,0.001252937,0.009681518,0.0003139672,0.0006346299],"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":[0.00004628403,0.0001434325,0.000007458586,0.00002793137,0.0001508465,0.0001726928,0.0003080401,9.747483e-7,0.0005800557,0.0003377466,0.996125,0.002099556],"study_design_scores_gemma":[0.0005308301,0.0000478312,0.001023641,0.00009760232,0.0004838923,0.00006001435,0.001082813,0.00001788185,0.00005364731,0.001264952,0.9943278,0.001009052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002621361,0.00009836916,0.0000183417,0.001546597,0.002059926,0.001049463,0.9925224,0.0001566891,0.002521994],"genre_scores_gemma":[0.0001351872,0.0001760662,0.0002300632,0.0008038211,0.003511399,0.00007866285,0.9946268,0.0001116011,0.0003264215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01328733,"threshold_uncertainty_score":0.9998236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101328531660329,"score_gpt":0.3684130575566879,"score_spread":0.258280204390655,"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."}}