{"id":"W4398852815","doi":"10.7910/dvn/rnl8ka/vuuzen","title":"Experiment_1A_95.csv","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Art","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":[0.001551816,0.003692986,0.00239869,0.00359221,0.00122914,0.003598947,0.005270803,0.003179641,0.1380406],"category_scores_gemma":[0.00678718,0.0009928542,0.001680311,0.006817866,0.0008386457,0.00210795,0.002782455,0.002156429,0.1690129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340544,"about_ca_system_score_gemma":0.002923601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02920242,"about_ca_topic_score_gemma":0.04057169,"domain_scores_codex":[0.998665,0.000251504,0.0001070024,0.0004213696,0.00032122,0.0002339831],"domain_scores_gemma":[0.9975086,0.0006517105,0.0002306695,0.0007947448,0.0004818962,0.0003321916],"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":[0.00005651034,0.00001458237,0.0002095547,0.000402868,0.00003201512,0.000008338488,0.000007405916,0.0001911864,0.00006756162,0.0004669212,0.997654,0.0008891674],"study_design_scores_gemma":[0.0005139508,0.00002516299,0.002159838,0.0002151321,0.00005463327,0.00004300406,0.00003496789,0.0006510782,0.0006218796,0.002987705,0.9926509,0.00004167389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007388819,0.00008687867,0.00005772991,0.00006976126,0.00002581026,0.00000754131,0.9982858,0.000635033,0.0007574708],"genre_scores_gemma":[0.0003759892,0.00005976719,0.0001937918,0.00007006376,0.00001046119,0.0000500345,0.9984049,0.0001582034,0.000676816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619593,"threshold_uncertainty_score":0.461792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388955624005886,"score_gpt":0.2491207127606781,"score_spread":0.2352311565206193,"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."}}