{"id":"W4398561849","doi":"10.7910/dvn/pkjufn/zs3038","title":"FCC2003.175.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":[0.0004223537,0.0009890336,0.001017139,0.0004262803,0.000199666,0.0002982123,0.002633932,0.0006660646,0.2341792],"category_scores_gemma":[0.001373568,0.001055565,0.0003165502,0.000827914,0.0002563614,0.0006047196,0.001557635,0.001498778,0.9953982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298403,"about_ca_system_score_gemma":0.0004745807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004899364,"about_ca_topic_score_gemma":0.0003881238,"domain_scores_codex":[0.9953033,0.0003036846,0.0007289105,0.001507159,0.001209157,0.0009477692],"domain_scores_gemma":[0.9943808,0.0001290399,0.0005432463,0.004066336,0.0001396463,0.0007409383],"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":[0.0001904516,0.0001480941,0.000001776639,0.0002542684,0.0002727475,0.001327813,0.00002447811,0.000003587539,0.00009268748,0.00001872731,0.9975924,0.00007293429],"study_design_scores_gemma":[0.001088908,0.00008291146,0.000011918,0.0001300731,0.0006286138,0.00006058008,0.00006009406,0.0000229958,0.0000384617,0.00001262789,0.996763,0.001099831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001026975,8.465635e-7,0.00001214076,0.000007260048,0.001319927,0.0006452931,0.996697,0.0004666107,0.0008498939],"genre_scores_gemma":[8.002616e-7,0.0002423914,0.0005200577,0.001573756,0.001186323,0.00006146514,0.9957284,0.0002576063,0.0004292168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.761219,"threshold_uncertainty_score":0.9991894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}