{"id":"W4398539070","doi":"10.7910/dvn/pkjufn/3mwgnp","title":"FCC2002.348.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001425357,0.003047975,0.001710986,0.005057575,0.001141143,0.003740286,0.004078719,0.003001085,0.1709346],"category_scores_gemma":[0.008846854,0.0009488115,0.00155294,0.008224417,0.0006620911,0.002203556,0.002382126,0.00196728,0.2257137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095126,"about_ca_system_score_gemma":0.002602011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04704818,"about_ca_topic_score_gemma":0.06849676,"domain_scores_codex":[0.9987386,0.0002593264,0.0001142391,0.0003822605,0.000252293,0.0002532462],"domain_scores_gemma":[0.9967991,0.0007682524,0.0002480011,0.0009351766,0.0008696382,0.0003798469],"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":[0.00002685986,0.000006995782,0.0001467872,0.0002206544,0.00001266369,0.000005308191,0.000007545108,0.0001218281,0.00002839375,0.0002615741,0.9984905,0.0006709239],"study_design_scores_gemma":[0.0002707779,0.00002024376,0.001651427,0.0002901695,0.00002758504,0.00003099808,0.00006632895,0.0005757675,0.0002594967,0.001658912,0.9951148,0.00003347647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000484019,0.00004571578,0.00003219376,0.00007287874,0.00002805822,0.000004587985,0.9986218,0.0004511633,0.0006952374],"genre_scores_gemma":[0.0002664701,0.00004087017,0.0001256562,0.00006108774,0.00001174135,0.00003040978,0.9986192,0.0001460016,0.000698492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290654,"threshold_uncertainty_score":0.5718333,"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."}}