{"id":"W4398877820","doi":"10.7910/dvn/v1rjpf/xavlz0","title":"cbb20150107_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Mathematics","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":[0.0004912896,0.00104974,0.001069218,0.0004605217,0.0002068623,0.0003262786,0.002629461,0.0007559797,0.6944414],"category_scores_gemma":[0.001162509,0.001114633,0.0003568635,0.0006889919,0.0003039101,0.0006820287,0.002043824,0.001577877,0.99971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597488,"about_ca_system_score_gemma":0.0005477147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007353523,"about_ca_topic_score_gemma":0.0003715982,"domain_scores_codex":[0.9950287,0.0003112926,0.0007981783,0.001563697,0.001299409,0.0009987465],"domain_scores_gemma":[0.9944648,0.0001394642,0.0006404474,0.003774312,0.000163647,0.000817345],"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":[0.0001855144,0.0001625504,0.000002340444,0.0002659717,0.0002960285,0.001237007,0.00002160568,0.000003569166,0.0001054405,0.00003220824,0.99761,0.00007771007],"study_design_scores_gemma":[0.001046042,0.00009453604,0.00001074833,0.000137576,0.0006463379,0.00007108973,0.00005278627,0.00001932011,0.00004973475,0.00002186939,0.9966792,0.001170701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001534476,1.077165e-7,0.00001084235,0.00000239241,0.001497571,0.0007000168,0.996462,0.0005247634,0.0008008032],"genre_scores_gemma":[0.000001155329,0.000223616,0.000394239,0.001394962,0.001375251,0.00007977757,0.9956973,0.0002696988,0.0005640254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3052686,"threshold_uncertainty_score":0.9991304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643252493031135,"score_gpt":0.2569719465581817,"score_spread":0.2305394216278704,"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."}}