{"id":"W4398436902","doi":"10.7910/dvn/pkjufn/eemnve","title":"FCC2002.191.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":[0.001374647,0.003228755,0.001834056,0.004943951,0.0012574,0.004276817,0.004195843,0.003353493,0.1851181],"category_scores_gemma":[0.008262391,0.000990381,0.001571438,0.008729414,0.0006808333,0.002477598,0.002537214,0.002084855,0.2578487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00219293,"about_ca_system_score_gemma":0.0027273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04813219,"about_ca_topic_score_gemma":0.0725201,"domain_scores_codex":[0.9987103,0.0002554804,0.0001222817,0.0003833441,0.0002557758,0.0002729344],"domain_scores_gemma":[0.9969195,0.0007334891,0.0002243556,0.000927965,0.000843718,0.0003510113],"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":[0.00002919073,0.000007646724,0.0001394647,0.0002410697,0.00001242617,0.000006489523,0.000008556308,0.0001073411,0.00003207354,0.0002817562,0.9984855,0.0006484946],"study_design_scores_gemma":[0.0002448671,0.00001893151,0.001403309,0.0002842206,0.000022562,0.00003065829,0.00006296021,0.0004348445,0.0002527593,0.001391591,0.9958225,0.00003076288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004310871,0.00004222665,0.00003009332,0.0000631041,0.00002889802,0.000004436527,0.998463,0.0004975576,0.0008275562],"genre_scores_gemma":[0.0002199204,0.00003587183,0.0001147617,0.0000573966,0.000009609405,0.00002780048,0.9987233,0.0001557788,0.0006555904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8148819,"threshold_uncertainty_score":0.6192818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253157115310506,"score_gpt":0.2544365740564545,"score_spread":0.2291208625254039,"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."}}