{"id":"W6922130685","doi":"10.11587/gxapi7/rdr0kh","title":"10722_om03_de_v1_0.pdf","year":2020,"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":"Quarter (Canadian coin); Identification (biology); Work (physics); Natural (archaeology)","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":[0.002125352,0.002775621,0.002455709,0.006179452,0.001370394,0.006448729,0.003689766,0.003641226,0.6368002],"category_scores_gemma":[0.01153944,0.001643607,0.001742069,0.01171302,0.0006675292,0.003673772,0.004570427,0.001877939,0.6801409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329931,"about_ca_system_score_gemma":0.00283252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448944,"about_ca_topic_score_gemma":0.03322248,"domain_scores_codex":[0.9981634,0.0002969681,0.0002116387,0.0004475371,0.0004155532,0.0004649661],"domain_scores_gemma":[0.9960001,0.001165053,0.0003325523,0.0009923346,0.00100339,0.0005064759],"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":[0.00001584302,0.000005186601,0.00008921221,0.0002035316,0.000004732743,0.000003403585,0.000007942537,0.00002520287,0.00002133281,0.0001897004,0.9987133,0.0007206589],"study_design_scores_gemma":[0.0001527956,0.000008969504,0.001097895,0.0002337377,0.00001015882,0.0000143528,0.00005281952,0.00008726864,0.0001763575,0.0008572044,0.9972831,0.00002535224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001944214,0.0000206347,0.00003059512,0.00005979185,0.00002757633,0.00001055303,0.9979523,0.0003800708,0.001498975],"genre_scores_gemma":[0.0001939093,0.00006376226,0.00020125,0.0001557305,0.00002654936,0.0001752338,0.9950417,0.0005796325,0.003562314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3631998,"threshold_uncertainty_score":0.5180604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097995658745739,"score_gpt":0.3557865835197662,"score_spread":0.2459870176451923,"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."}}