{"id":"W4398548221","doi":"10.7910/dvn/pkjufn/zgzlwl","title":"FCC2001.195.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":[0.0004124304,0.0009866313,0.001017326,0.0004310212,0.0001955305,0.0002075783,0.0026622,0.0006660352,0.2445686],"category_scores_gemma":[0.001151282,0.001055652,0.0003394227,0.0007297093,0.0002683229,0.0006180788,0.001612178,0.001501871,0.9957578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016322,"about_ca_system_score_gemma":0.0004336781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728309,"about_ca_topic_score_gemma":0.0004070842,"domain_scores_codex":[0.9952825,0.0002863784,0.0007304889,0.001508801,0.001213349,0.0009784538],"domain_scores_gemma":[0.9943637,0.000142874,0.0005425617,0.004066427,0.0001225625,0.0007618655],"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":[0.0002081394,0.0001574863,0.000001471761,0.000251876,0.0002716738,0.001402882,0.00002475407,0.000004736944,0.000100285,0.00001986235,0.9974685,0.00008831258],"study_design_scores_gemma":[0.001116452,0.00008621806,0.00001296818,0.0001285503,0.0006328863,0.00006033447,0.00006170361,0.00004055919,0.00003233614,0.00001056637,0.9967163,0.00110114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002367155,8.643709e-7,0.000009548276,0.000007591643,0.001245163,0.0006355495,0.9971278,0.000483253,0.0004878663],"genre_scores_gemma":[0.000001752936,0.000197916,0.0003749371,0.001470741,0.001285168,0.00006054182,0.9957284,0.0002577726,0.0006227477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7511891,"threshold_uncertainty_score":0.9991894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483877254550188,"score_gpt":0.2556445026637719,"score_spread":0.23080573011827,"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."}}