{"id":"W4398619794","doi":"10.7910/dvn/pkjufn/ictutk","title":"FCC2003.351.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":[0.0004355436,0.0009919133,0.001027679,0.0004178011,0.0002117527,0.0003087773,0.002646644,0.0006490381,0.2298122],"category_scores_gemma":[0.001420408,0.001057466,0.0003178741,0.0008162489,0.0002885772,0.0006252109,0.00160293,0.001472093,0.9956531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182186,"about_ca_system_score_gemma":0.00049002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00068242,"about_ca_topic_score_gemma":0.0004052977,"domain_scores_codex":[0.9952734,0.0003006711,0.0007365807,0.001515086,0.001219737,0.0009545764],"domain_scores_gemma":[0.9943422,0.0001316558,0.0005462407,0.004092564,0.0001423373,0.000745014],"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":[0.0001908613,0.0001478214,0.000002059394,0.0002583879,0.0002642654,0.001326457,0.00002600139,0.000003684355,0.00009368423,0.00002527623,0.9975967,0.0000647378],"study_design_scores_gemma":[0.001086099,0.00008165329,0.00001154236,0.0001293845,0.0006099548,0.00006115591,0.0000594736,0.00002108715,0.00003789373,0.00001366935,0.9967856,0.001102484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001693732,8.244102e-7,0.000009141263,0.000006817922,0.001308026,0.0006493084,0.9967363,0.0004746834,0.0008131464],"genre_scores_gemma":[0.000001377142,0.0002092638,0.000447808,0.001495415,0.001197074,0.00006155458,0.9958848,0.0002576113,0.0004451055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7658409,"threshold_uncertainty_score":0.9991876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}