{"id":"W4398602830","doi":"10.7910/dvn/pkjufn/gtunkm","title":"FCC2001.242.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":[0.0004340181,0.00099265,0.001027893,0.0004262611,0.0002023458,0.0003016209,0.002701747,0.0006503618,0.2327222],"category_scores_gemma":[0.001205194,0.001046533,0.0003406608,0.0007266967,0.0002727491,0.0006222637,0.001666641,0.001477168,0.9957354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147345,"about_ca_system_score_gemma":0.0004271471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007920662,"about_ca_topic_score_gemma":0.0004412399,"domain_scores_codex":[0.9952685,0.0002867766,0.0007354149,0.001516533,0.001221573,0.0009711763],"domain_scores_gemma":[0.994332,0.0001450421,0.0005456459,0.00409835,0.0001231415,0.0007558227],"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":[0.0002039385,0.0001521609,0.000002109308,0.0002548093,0.0002646727,0.001397227,0.0000249969,0.000004577696,0.0001014523,0.00001956839,0.9974951,0.0000793995],"study_design_scores_gemma":[0.001100244,0.00008320295,0.00001181636,0.0001300488,0.0006102533,0.00006387357,0.00005826145,0.00002361409,0.00003191789,0.00001506726,0.9967649,0.001106818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001888617,7.685704e-7,0.000007575268,0.000008101247,0.00124825,0.0006416562,0.9967816,0.0005046393,0.0008054763],"genre_scores_gemma":[0.00000146178,0.000224099,0.0003924172,0.001438708,0.001267687,0.00006103663,0.9958897,0.0002636525,0.0004612261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7630132,"threshold_uncertainty_score":0.9991985,"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."}}