{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003155072,0.0002749062,0.0002729711,0.00003634527,0.000130318,0.0001197371,0.0005966731,0.00006413814,0.06125771],"category_scores_gemma":[0.000002500134,0.0002845207,0.000150855,0.0001240547,0.00007137605,0.0001242883,0.0003902722,0.0003225533,0.42977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694457,"about_ca_system_score_gemma":0.00006598991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105727,"about_ca_topic_score_gemma":0.000001099146,"domain_scores_codex":[0.9988997,0.0000209782,0.0002127839,0.0004386845,0.0001944363,0.0002334485],"domain_scores_gemma":[0.9986531,0.00001905286,0.0001528059,0.000982988,0.00002724318,0.0001648258],"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":[0.000004343693,0.0001198232,0.000002344607,0.0000132873,0.00008166079,0.000002850966,0.00001167139,0.000001060618,0.00009481011,0.005152692,0.9940846,0.0004308497],"study_design_scores_gemma":[0.0002114284,0.00001249832,0.00000240089,0.00001545075,0.00007999715,2.01995e-7,0.00006828358,0.00001258405,0.0001748225,0.0004954227,0.9986277,0.0002992185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004590784,2.249951e-7,0.0002543569,0.00001860426,0.0001823316,0.0002214579,0.9967883,0.00003597743,0.00249411],"genre_scores_gemma":[0.0001514306,0.00001000074,0.0001667096,0.0002766618,0.001207004,0.00007262908,0.9977742,0.00003065832,0.0003106634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3685123,"threshold_uncertainty_score":0.9999607,"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."}}