{"id":"W4398863898","doi":"10.7910/dvn/v1rjpf/s2cdx2","title":"iqa20150709_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":[0.0005144244,0.001047917,0.001067196,0.0004556199,0.0002055864,0.0003265739,0.002630373,0.0007391301,0.8214179],"category_scores_gemma":[0.001193685,0.001112542,0.000352732,0.0006922534,0.0003005816,0.0006670948,0.002046432,0.001524584,0.9996399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680255,"about_ca_system_score_gemma":0.0005401943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006700328,"about_ca_topic_score_gemma":0.0003403104,"domain_scores_codex":[0.9950125,0.0003288841,0.0007967293,0.001564309,0.001299144,0.0009984616],"domain_scores_gemma":[0.9945185,0.0001427757,0.0006386585,0.003718306,0.0001655986,0.0008161913],"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":[0.0002062004,0.0001590796,0.000002079471,0.0002710328,0.0003002091,0.001172706,0.000021883,0.000003697175,0.0001084598,0.00003116332,0.9976555,0.00006805041],"study_design_scores_gemma":[0.001079969,0.00008986753,0.00001531241,0.0001398643,0.0006505416,0.00006762576,0.00005376105,0.00001910578,0.00003277444,0.00002066702,0.9966609,0.001169597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001441852,1.399532e-7,0.00001104164,0.000002169878,0.00144975,0.0007006319,0.9964696,0.0005308831,0.0008344087],"genre_scores_gemma":[0.000001215617,0.0002296003,0.0004533071,0.001386086,0.001371807,0.00007992303,0.9956608,0.0002691621,0.0005480436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.178222,"threshold_uncertainty_score":0.9991325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}