{"id":"W4398577932","doi":"10.7910/dvn/pkjufn/rt5aeb","title":"FCC2001.072.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001520685,0.003058179,0.00177896,0.004939274,0.001182692,0.003726992,0.004251832,0.003015431,0.1740855],"category_scores_gemma":[0.009609914,0.000956359,0.001532315,0.007636304,0.0006934454,0.002264654,0.002498801,0.002042562,0.2307493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102668,"about_ca_system_score_gemma":0.002689526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04644962,"about_ca_topic_score_gemma":0.07085102,"domain_scores_codex":[0.9986671,0.0002770519,0.0001135463,0.0004107288,0.0002666179,0.0002648164],"domain_scores_gemma":[0.9964861,0.0008575933,0.0002591255,0.001032872,0.0009487054,0.0004157148],"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":[0.00002523414,0.000006650729,0.0001435483,0.0001946674,0.0000120227,0.000004884505,0.000007048338,0.0001162683,0.00002583146,0.0002376918,0.9985896,0.000636581],"study_design_scores_gemma":[0.0002802094,0.00002006352,0.001699145,0.0002870492,0.00002857776,0.00003184084,0.00006730544,0.000607505,0.0002711843,0.001774594,0.9948979,0.00003464243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005001075,0.0000459595,0.00003474844,0.00008028141,0.00003107736,0.000004904479,0.998585,0.0004806775,0.0006873138],"genre_scores_gemma":[0.0002725711,0.00003972861,0.0001345472,0.00006569929,0.00001317994,0.00003246543,0.9985459,0.0001588475,0.0007370823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8259145,"threshold_uncertainty_score":0.582374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480264545568665,"score_gpt":0.255631542862628,"score_spread":0.2308288974069413,"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."}}