{"id":"W6884631159","doi":"10.11587/jrzmqk/srxqqq","title":"10821_da03_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":[0.002268197,0.002096769,0.001807206,0.004413429,0.001091591,0.004487104,0.00370237,0.001885835,0.5584785],"category_scores_gemma":[0.0102765,0.001930592,0.001468772,0.00870449,0.0004942128,0.001805358,0.002900216,0.001796487,0.5630806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644043,"about_ca_system_score_gemma":0.002703248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02486585,"about_ca_topic_score_gemma":0.02370003,"domain_scores_codex":[0.9983829,0.0003362784,0.0001937013,0.0004425668,0.0002981561,0.000346386],"domain_scores_gemma":[0.9962662,0.00116987,0.0003600851,0.001106154,0.0007999815,0.0002977547],"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":[0.00003391348,0.000009677073,0.0003455217,0.000201784,0.00001432742,0.000006439868,0.00001670574,0.0001172203,0.00005475674,0.0005909849,0.9969611,0.00164754],"study_design_scores_gemma":[0.0001977072,0.00001309264,0.002800724,0.0001654866,0.00001970648,0.00002449028,0.00005589759,0.0002475973,0.0004497505,0.001803944,0.994193,0.00002864843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004260332,0.00001041405,0.0001223914,0.00003532549,0.00001510778,0.000007969817,0.9981424,0.0005288131,0.001094947],"genre_scores_gemma":[0.000456366,0.00003908424,0.0006340061,0.00007681123,0.00001679973,0.0001839319,0.9937384,0.00100276,0.003851801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4415215,"threshold_uncertainty_score":0.6297768,"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."}}