{"id":"W4398600862","doi":"10.7910/dvn/pkjufn/vgimy3","title":"FCC2001.286.ran","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":"Ran; Computer science; Computer network","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":[0.0004316865,0.0009928636,0.001032001,0.0004257202,0.0002005965,0.0003026931,0.002711427,0.000652988,0.2336779],"category_scores_gemma":[0.001233305,0.001058012,0.0003410518,0.0007254255,0.0002664126,0.0006214904,0.001676794,0.001474405,0.9957527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162149,"about_ca_system_score_gemma":0.0004282568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007780663,"about_ca_topic_score_gemma":0.0004415863,"domain_scores_codex":[0.9952536,0.0002891017,0.0007381436,0.001523538,0.001223532,0.0009721473],"domain_scores_gemma":[0.9943074,0.0001515209,0.0005467939,0.004114517,0.0001232087,0.0007565475],"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":[0.0002003443,0.0001517095,0.000002134474,0.000255324,0.0002647665,0.001396512,0.00002439653,0.00000481364,0.0001018464,0.00002013643,0.9975043,0.00007372351],"study_design_scores_gemma":[0.001092291,0.00008241828,0.00001215595,0.0001299188,0.0005973496,0.00006411975,0.00005700523,0.00002505159,0.00003346899,0.00001535232,0.9967839,0.00110702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002009812,7.675229e-7,0.000007706748,0.000007902794,0.001250503,0.0006413027,0.9967631,0.0005051108,0.0008216213],"genre_scores_gemma":[0.000001576211,0.0002246411,0.0003984329,0.001449416,0.001296362,0.00006088135,0.9958655,0.0002639886,0.0004392609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7620748,"threshold_uncertainty_score":0.999187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489124798400566,"score_gpt":0.2557219760424267,"score_spread":0.2308307280584211,"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."}}