{"id":"W6959381440","doi":"10.11587/gxapi7/mrkbol","title":"10722_da05_de_v1_0.zsav","year":2021,"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":[0.001609492,0.001685849,0.001362052,0.003291393,0.000959032,0.003301661,0.002686014,0.001571252,0.4398458],"category_scores_gemma":[0.009308425,0.001312342,0.001110973,0.006075546,0.0004186913,0.001631029,0.00256011,0.001484876,0.438512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159738,"about_ca_system_score_gemma":0.002516575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929096,"about_ca_topic_score_gemma":0.02200207,"domain_scores_codex":[0.9989874,0.0001825876,0.0001305313,0.0002796481,0.0002029958,0.0002168364],"domain_scores_gemma":[0.9970937,0.0009680392,0.0002709027,0.0007104134,0.0007281133,0.0002287785],"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":[0.0000376234,0.0000105226,0.0005109765,0.0002364573,0.00001370535,0.000007813914,0.00002163833,0.0001019214,0.0000747548,0.0006108867,0.9963246,0.002049067],"study_design_scores_gemma":[0.0001997934,0.00001484121,0.004318379,0.0002029619,0.00002186616,0.00002616311,0.00008016164,0.000199498,0.0004470362,0.001914119,0.9925442,0.00003109685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005770275,0.00001070684,0.0001080411,0.00003524323,0.00001465174,0.00000821733,0.9987664,0.0003177931,0.0006812784],"genre_scores_gemma":[0.0004958908,0.00003653862,0.0005858592,0.00006442636,0.00001407109,0.0001840726,0.9953336,0.0005286526,0.002756836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5601542,"threshold_uncertainty_score":0.798992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101328531660329,"score_gpt":0.3684130575566879,"score_spread":0.258280204390655,"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."}}