{"id":"W4398531240","doi":"10.7910/dvn/pkjufn/ydv2a9","title":"FCC2002.176.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":[0.0004232246,0.0009735822,0.001008601,0.0002583765,0.0001963978,0.0002977727,0.002659804,0.000629165,0.2285825],"category_scores_gemma":[0.001410774,0.001035749,0.0003362981,0.0006702337,0.0002595542,0.000616552,0.001666457,0.001453851,0.9946322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986834,"about_ca_system_score_gemma":0.0003274935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004825025,"about_ca_topic_score_gemma":0.0004199447,"domain_scores_codex":[0.9950684,0.0002821015,0.0007224075,0.001479709,0.001518118,0.000929293],"domain_scores_gemma":[0.9944447,0.000157966,0.0005341012,0.00403206,0.000103673,0.0007275106],"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":[0.0002006579,0.0001478271,0.000002235347,0.0002545866,0.0002591059,0.00131765,0.00002419769,0.000003702432,0.0001113156,0.00001666389,0.9975623,0.0000997272],"study_design_scores_gemma":[0.0010302,0.00008189146,0.0000152726,0.000128536,0.0006054535,0.00005743775,0.0000565263,0.00002355443,0.00003548373,0.00001192674,0.9968722,0.00108145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002285763,7.476987e-7,0.00000815471,0.000007183217,0.00116089,0.0006139117,0.9969177,0.0004481972,0.0008409295],"genre_scores_gemma":[0.000002058091,0.0001950418,0.0003809137,0.001360312,0.001227361,0.00006078976,0.9960756,0.0002533928,0.0004445006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7660497,"threshold_uncertainty_score":0.9992093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513810546642853,"score_gpt":0.2543513272187592,"score_spread":0.2292132217523307,"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."}}