{"id":"W6922464116","doi":"10.11587/eadsof/8cu0xc","title":"10852_da08_de_v1_0.tab","year":2025,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002003969,0.0017408,0.0014749,0.003729548,0.000940398,0.003444752,0.003220229,0.001699192,0.4753963],"category_scores_gemma":[0.009229885,0.001622125,0.001171569,0.006884139,0.000463372,0.001614712,0.002556788,0.001670064,0.4936487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420768,"about_ca_system_score_gemma":0.002390434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227217,"about_ca_topic_score_gemma":0.02108072,"domain_scores_codex":[0.9987175,0.0002723417,0.0001416626,0.000345293,0.0002345676,0.0002886373],"domain_scores_gemma":[0.9969838,0.0008838772,0.0003113597,0.0009241032,0.0006560552,0.0002407863],"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":[0.00003534127,0.00001015006,0.0004143614,0.0001564702,0.00001241088,0.000006099902,0.00001620602,0.0001314472,0.00005072664,0.000487422,0.9969707,0.001708797],"study_design_scores_gemma":[0.0002268999,0.00001651841,0.003706357,0.0001473973,0.00001874418,0.00002680551,0.00006280721,0.0002735873,0.0004220126,0.001697601,0.9933742,0.0000271075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006059918,0.00001095777,0.000107771,0.00003878469,0.00001461602,0.000007613612,0.9984365,0.0004441582,0.0008789345],"genre_scores_gemma":[0.0005198593,0.00003283782,0.0005353966,0.0000683512,0.00001692656,0.0001564577,0.9943715,0.0006481837,0.003650508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5246037,"threshold_uncertainty_score":0.7482834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07488551142456291,"score_gpt":0.3738031116774526,"score_spread":0.2989176002528897,"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."}}