{"id":"W4398491182","doi":"10.7910/dvn/pkjufn/bnufyu","title":"FCC2001.163.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":[0.0004340693,0.0009921344,0.001028497,0.0004254529,0.0002008298,0.0003020961,0.002699855,0.0006512141,0.238251],"category_scores_gemma":[0.001205899,0.001057145,0.0003405584,0.0007250676,0.0002709963,0.0006228642,0.001670633,0.001479965,0.9956692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315423,"about_ca_system_score_gemma":0.0004452831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008021632,"about_ca_topic_score_gemma":0.0004281339,"domain_scores_codex":[0.9952665,0.0002897516,0.0007353364,0.001515754,0.00122147,0.0009711812],"domain_scores_gemma":[0.9943346,0.0001482213,0.0005455358,0.004092216,0.0001231478,0.0007562724],"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":[0.0002009189,0.0001465843,0.000002130097,0.0002547062,0.0002653765,0.001396934,0.00002489053,0.000004728766,0.00009936818,0.00001970422,0.9975055,0.00007919749],"study_design_scores_gemma":[0.001099389,0.00008377992,0.0000121045,0.0001291811,0.0006106352,0.00006380173,0.00005923182,0.00002446359,0.00003190261,0.00001525621,0.9967674,0.001102855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001968478,7.78976e-7,0.000007676114,0.000007732558,0.001250033,0.0006406304,0.9967433,0.0004900495,0.0008578148],"genre_scores_gemma":[0.000001565192,0.0002258681,0.000394794,0.001438093,0.00129045,0.00006100484,0.9958591,0.0002581085,0.0004709736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7574182,"threshold_uncertainty_score":0.9991879,"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."}}