{"id":"W4398599675","doi":"10.7910/dvn/bflott/m04jca","title":"tableA1.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.0003043876,0.0003510661,0.0003892712,0.0001276106,0.0001462485,0.0003865242,0.003803952,0.0002174581,0.01576898],"category_scores_gemma":[0.0001588298,0.0003377018,0.0001317673,0.0003875341,0.00006320241,0.000726852,0.002057282,0.0005437533,0.615609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003771087,"about_ca_system_score_gemma":0.0001734801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005794788,"about_ca_topic_score_gemma":0.000006405709,"domain_scores_codex":[0.9979275,0.0001373068,0.0003103524,0.000797281,0.0004276848,0.000399864],"domain_scores_gemma":[0.9970791,0.00009756796,0.000193687,0.002315348,0.00004408347,0.0002702638],"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":[0.000006901133,0.00003645597,7.763929e-8,0.00008727162,0.00003453901,0.0003635943,0.00001561906,0.000003438847,0.000004201607,0.003323287,0.9949992,0.001125435],"study_design_scores_gemma":[0.0002267487,0.00004735705,6.409486e-7,0.00003782335,0.00003467307,0.00003372943,0.000006520439,0.0007146824,0.00003364329,0.0006533015,0.9978135,0.0003973889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.826193e-8,8.847302e-7,0.02067684,0.00002424652,0.001379021,0.0001680066,0.9771457,0.0001869185,0.0004182832],"genre_scores_gemma":[5.052147e-7,0.0001659973,0.00674251,0.001543064,0.0005200444,0.00001456289,0.9905409,0.00001319561,0.0004592137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.59984,"threshold_uncertainty_score":0.9999075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459491440122948,"score_gpt":0.22861572948222,"score_spread":0.2140208150809905,"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."}}