{"id":"W4398660601","doi":"10.7910/dvn/pkjufn/nhkojj","title":"FCC2002.104.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":[0.00146597,0.003254379,0.001833671,0.005047693,0.001215967,0.00403737,0.004204162,0.003236088,0.1562472],"category_scores_gemma":[0.008832773,0.0009187147,0.001575313,0.008760245,0.0006929114,0.002462839,0.00246209,0.002080029,0.2310988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216868,"about_ca_system_score_gemma":0.002739274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04685998,"about_ca_topic_score_gemma":0.07493754,"domain_scores_codex":[0.9985593,0.0003052646,0.0001357641,0.0004211005,0.0002953716,0.0002832113],"domain_scores_gemma":[0.9967095,0.0007404923,0.0002480628,0.0009966247,0.0009296822,0.000375734],"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":[0.00002817274,0.000008065554,0.0001467239,0.0002277063,0.00001300822,0.000006526703,0.000007741728,0.0001113612,0.00003232486,0.0002562151,0.9984877,0.0006743867],"study_design_scores_gemma":[0.0002482595,0.00002099511,0.001606559,0.0003041183,0.00002689165,0.00003679545,0.00006502074,0.0005143831,0.0002753678,0.001410507,0.9954596,0.00003150402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005525844,0.00005388728,0.00003463245,0.00007263556,0.00003159986,0.000005216526,0.9983784,0.0005104574,0.000857911],"genre_scores_gemma":[0.0002300743,0.00003686125,0.0001165388,0.00005411606,0.000009531197,0.00002690805,0.998772,0.0001342371,0.000619672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437528,"threshold_uncertainty_score":0.522699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248404209412267,"score_gpt":0.2530797822490043,"score_spread":0.2282393613077776,"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."}}