{"id":"W6884630090","doi":"10.11587/jrzmqk/pdcmuc","title":"10821_da02_de_v1_0.tab","year":2023,"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; Data set; 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":[0.002250824,0.001962696,0.001617163,0.003946618,0.001052613,0.004069361,0.0034441,0.00176727,0.4945805],"category_scores_gemma":[0.009842479,0.001791222,0.00128891,0.007857141,0.0004815026,0.001628318,0.002690347,0.001776412,0.4944628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439873,"about_ca_system_score_gemma":0.002560514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348073,"about_ca_topic_score_gemma":0.02230705,"domain_scores_codex":[0.9985719,0.000309662,0.0001614166,0.0003988474,0.0002552896,0.000302887],"domain_scores_gemma":[0.9967768,0.001019538,0.0003305175,0.0009739328,0.0006384351,0.0002607236],"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":[0.00003880584,0.00001137196,0.000434297,0.0002036858,0.0000172006,0.000007005649,0.00001856729,0.0001393711,0.00005863946,0.0006109391,0.9966789,0.001781279],"study_design_scores_gemma":[0.0002419163,0.00001694579,0.003673722,0.0001566612,0.00002471646,0.00002852057,0.00005982568,0.0002722528,0.0004576082,0.001854416,0.9931844,0.00002913422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005401358,0.00001161636,0.0001282924,0.00003591169,0.00001501472,0.000007998453,0.9984067,0.0004521238,0.0008883116],"genre_scores_gemma":[0.0004811884,0.00003684129,0.0005759598,0.00006581727,0.00001684208,0.0001628616,0.9945832,0.0007158847,0.003361409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5054195,"threshold_uncertainty_score":0.7209196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408703109749003,"score_gpt":0.3864030868502331,"score_spread":0.2455327758753328,"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."}}