{"id":"W4394168734","doi":"10.6084/m9.figshare.1450804.v1","title":"Cobre for machine learning","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001813144,0.0002377315,0.0002389649,0.0001251754,0.0001586402,0.0003144639,0.001767019,0.0002406924,0.01358045],"category_scores_gemma":[0.003865225,0.0002221729,0.0000844435,0.000193786,0.000003274423,0.000223486,0.0005374137,0.0005965413,0.005998352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000515979,"about_ca_system_score_gemma":0.000208986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003919606,"about_ca_topic_score_gemma":0.00003322545,"domain_scores_codex":[0.9985814,0.00009211338,0.0002084289,0.0005462105,0.0003092048,0.0002626377],"domain_scores_gemma":[0.9981438,0.0002470234,0.0002967907,0.0009543797,0.0002228269,0.0001351635],"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":[0.000002436087,0.00001479149,5.276841e-7,0.0002320394,0.000008545512,0.000003898466,0.000008495945,0.00002804485,1.980697e-7,0.0000166204,0.9940788,0.005605669],"study_design_scores_gemma":[0.0001860336,0.00008052156,0.000009974785,0.0003563391,0.000007647825,0.000009107682,0.000001133306,0.01781387,0.000001516206,0.00004220159,0.9812292,0.0002624835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.856525e-9,0.0004825129,0.000476939,0.0002344324,0.0001530273,0.0002567217,0.9979428,0.0002126112,0.0002409708],"genre_scores_gemma":[0.000001188752,0.000008867666,0.001141092,0.000204685,0.0002903904,0.0002926427,0.9971256,0.00001636276,0.000919131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01778583,"threshold_uncertainty_score":0.9947756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07403695984826873,"score_gpt":0.3104002490653777,"score_spread":0.2363632892171089,"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."}}