{"id":"W6922484107","doi":"10.11587/xswwsl/5dmbt0","title":"10777_da01_de_v2_0.tab","year":2022,"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 set; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002556727,0.001904311,0.001633628,0.004421423,0.001227382,0.004542516,0.003420105,0.001929752,0.65009],"category_scores_gemma":[0.01113351,0.002011485,0.00132204,0.008390481,0.0005274525,0.001796817,0.002910487,0.00188118,0.6257203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496401,"about_ca_system_score_gemma":0.002558979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198205,"about_ca_topic_score_gemma":0.0200452,"domain_scores_codex":[0.9980524,0.0004639575,0.0002099984,0.0005413272,0.0003290858,0.0004032478],"domain_scores_gemma":[0.9953681,0.001613993,0.000452517,0.001314405,0.0008901941,0.0003607326],"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":[0.00003508567,0.000009996497,0.0004098482,0.0001973049,0.00001589088,0.000007209944,0.0000212655,0.00009764962,0.00005226847,0.000842032,0.9963421,0.001969268],"study_design_scores_gemma":[0.0001473417,0.00001092542,0.002531152,0.0001479132,0.00001784317,0.00002475021,0.00005610521,0.000160358,0.0003440208,0.001658226,0.9948763,0.00002498935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005108039,0.00001333722,0.0001834665,0.00005467441,0.000025484,0.00001029488,0.997336,0.0005400436,0.001785655],"genre_scores_gemma":[0.0006722693,0.00005272707,0.0008786086,0.0001272591,0.00002816021,0.000252999,0.9893827,0.001425215,0.007180038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.34991,"threshold_uncertainty_score":0.4991041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056090829752793,"score_gpt":0.3650061048603033,"score_spread":0.259397021885024,"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."}}