{"id":"W4398365415","doi":"10.7910/dvn/pkjufn/olf5ux","title":"FCC2001.041.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":[0.0004318107,0.0009915503,0.001026354,0.0004249471,0.0002005084,0.0003008855,0.002694673,0.0006499136,0.230619],"category_scores_gemma":[0.001179754,0.001056543,0.0003364235,0.0007242985,0.0002701239,0.000620704,0.001667147,0.001476686,0.9956201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135014,"about_ca_system_score_gemma":0.0004319909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007305033,"about_ca_topic_score_gemma":0.0004434087,"domain_scores_codex":[0.9952724,0.0002889141,0.0007339003,0.001516079,0.001219109,0.0009695757],"domain_scores_gemma":[0.9943364,0.0001479324,0.000545007,0.00409149,0.0001235248,0.0007556054],"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":[0.0001986008,0.0001518424,0.00000202728,0.0002519804,0.000265125,0.001383758,0.00002387451,0.000005073926,0.00009849344,0.00002195552,0.9975133,0.00008399587],"study_design_scores_gemma":[0.001096435,0.0000815459,0.00001133362,0.0001313256,0.0006117727,0.00006307897,0.00006441084,0.00002380812,0.00003338641,0.00001603696,0.9967647,0.001102179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001899845,7.589492e-7,0.000007833106,0.000007905039,0.001260066,0.00062426,0.9967088,0.0004878574,0.0009006766],"genre_scores_gemma":[0.000001606223,0.0002283565,0.0003960633,0.001426109,0.001288528,0.00006092539,0.9958796,0.0002579983,0.0004608032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7650011,"threshold_uncertainty_score":0.9991885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484661320769378,"score_gpt":0.2556789123796845,"score_spread":0.2308322991719908,"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."}}