{"id":"W4398641581","doi":"10.7910/dvn/pkjufn/wgxfsi","title":"FCC2002.173.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":[0.0004301501,0.0009748058,0.001009328,0.0002592029,0.0001965113,0.0002973415,0.002662896,0.0006311503,0.2281628],"category_scores_gemma":[0.001399,0.001037363,0.000336571,0.0006735229,0.0002605518,0.000602194,0.001666888,0.001454388,0.9946274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003191451,"about_ca_system_score_gemma":0.0003315605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004716991,"about_ca_topic_score_gemma":0.0004058031,"domain_scores_codex":[0.9950551,0.000281116,0.0007228999,0.001482876,0.001527609,0.0009303324],"domain_scores_gemma":[0.9944381,0.0001560689,0.0005349984,0.004038743,0.0001040246,0.0007280742],"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":[0.0002071318,0.0001429725,0.000002773029,0.0002506633,0.0002600621,0.001315344,0.00002338826,0.000003837256,0.0001385148,0.00001521007,0.9975594,0.00008075055],"study_design_scores_gemma":[0.001057511,0.00008358205,0.00001474149,0.0001285629,0.0006061986,0.00005854154,0.00005185253,0.00002506475,0.00005497456,0.0000115267,0.9968241,0.001083349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000213367,6.365534e-7,0.000008147601,0.000006776975,0.001168314,0.0006164966,0.9970412,0.0004484044,0.0007079449],"genre_scores_gemma":[0.000002418666,0.0001697106,0.0003817777,0.001368516,0.001237378,0.00006088694,0.9960598,0.0002539121,0.0004656111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7664645,"threshold_uncertainty_score":0.9992077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}