{"id":"W4398714422","doi":"10.7910/dvn/hbikkv/ba9fba","title":"RunA.nc","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.0001703608,0.0003969155,0.0004164534,0.000137706,0.0001765969,0.0004467388,0.004635497,0.0002572238,0.004335979],"category_scores_gemma":[0.0001237707,0.0003592829,0.0001262156,0.0003304048,0.00005656884,0.001089378,0.004684032,0.0005901062,0.3712534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493335,"about_ca_system_score_gemma":0.0002045411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193206,"about_ca_topic_score_gemma":0.00001329897,"domain_scores_codex":[0.9975259,0.00008873429,0.0003537631,0.001007723,0.0006190508,0.0004048876],"domain_scores_gemma":[0.9959584,0.00007195481,0.0002291146,0.003353028,0.00005917242,0.0003283512],"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":[0.000006028691,0.00004427677,3.113906e-7,0.00005203544,0.00002639106,0.0003261721,0.00001148902,0.000002238153,0.00000628209,0.0003254254,0.9968087,0.002390623],"study_design_scores_gemma":[0.0002683965,0.0000538044,0.000008112702,0.00006886013,0.00003030931,0.00002703462,0.000003855156,0.002071299,0.00001623355,0.0001104974,0.9969121,0.0004295035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[9.425809e-8,0.000002060901,0.04096737,0.00003149491,0.001475373,0.0001774868,0.9570048,0.0001926478,0.000148672],"genre_scores_gemma":[4.296314e-7,0.0002909566,0.0171764,0.001473125,0.0005022952,0.00001570676,0.9804173,0.00001506198,0.0001087248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3669175,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680294831912975,"score_gpt":0.2352101464485778,"score_spread":0.218407198129448,"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."}}