{"id":"W6907416759","doi":"10.20372/aau_rdr/rekazw/robxod","title":"Hana Bezabih Raw data.docx","year":2022,"lang":"sr","type":"dataset","venue":"National Academic Digital Repository of Ethiopia","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association Of Atlantic Universities","funders":"","keywords":"Product (mathematics); Identification (biology); Work (physics); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001182308,0.001769875,0.001114592,0.004026878,0.0007648053,0.002757335,0.001933206,0.001317888,0.2159205],"category_scores_gemma":[0.005968866,0.0007198986,0.0008167416,0.005172992,0.0004508191,0.001719408,0.001876475,0.001394031,0.1901566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009785892,"about_ca_system_score_gemma":0.002124315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01502724,"about_ca_topic_score_gemma":0.02000861,"domain_scores_codex":[0.9993611,0.0001163066,0.00008686988,0.0001478984,0.0001253161,0.0001625049],"domain_scores_gemma":[0.9976377,0.0005949629,0.0001678141,0.0005790418,0.000787819,0.000232642],"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":[0.00005208012,0.00001926112,0.0003234769,0.0003667432,0.00001067476,0.00001500888,0.00001989542,0.0001128532,0.00008456696,0.0003635311,0.9970405,0.001591505],"study_design_scores_gemma":[0.0002152403,0.00002140554,0.00343992,0.0003592455,0.00001604942,0.00004814658,0.0001751468,0.0002363322,0.000546179,0.0007882353,0.9941264,0.00002770204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007669093,0.0000172761,0.00003271694,0.00004552888,0.00002821794,0.00001198023,0.9989649,0.000241044,0.0005815975],"genre_scores_gemma":[0.0004556324,0.0000424953,0.0002460437,0.00004219243,0.0000112896,0.00009439357,0.997656,0.0001515717,0.001300386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7840796,"threshold_uncertainty_score":0.7223259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567830165956398,"score_gpt":0.337724705293398,"score_spread":0.282046403633834,"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."}}