{"id":"W4398458494","doi":"10.7910/dvn/pkjufn/va5xpd","title":"FCC2001.114.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":[0.001470869,0.003307406,0.001884917,0.005135758,0.001255326,0.003890664,0.00437482,0.003342627,0.1608449],"category_scores_gemma":[0.008607085,0.0009842743,0.001659173,0.008584045,0.000720587,0.002419269,0.002542973,0.002181925,0.2348892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358728,"about_ca_system_score_gemma":0.002833741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04767748,"about_ca_topic_score_gemma":0.07451937,"domain_scores_codex":[0.9985693,0.0003062459,0.0001360515,0.0004262168,0.0002864084,0.0002757821],"domain_scores_gemma":[0.9968224,0.0007530787,0.0002412111,0.0009466104,0.0008770684,0.0003596711],"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":[0.0000276557,0.000008519891,0.0001347985,0.0002438935,0.00001312176,0.000006160172,0.000008073952,0.0001213765,0.00003424628,0.0002663068,0.9984755,0.0006604839],"study_design_scores_gemma":[0.0002803118,0.00002213285,0.001622957,0.0003135357,0.00002860633,0.0000373082,0.00006815579,0.0005649362,0.0002855173,0.00154611,0.9951968,0.00003370563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005227167,0.00005342625,0.00003453306,0.00007367818,0.00002969246,0.000005265524,0.9984939,0.0004880192,0.0007691914],"genre_scores_gemma":[0.0002167912,0.0000386402,0.0001153588,0.00005238119,0.000009087091,0.00002725591,0.9988185,0.0001243521,0.0005975831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391551,"threshold_uncertainty_score":0.5380799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479346208450726,"score_gpt":0.2556258075840656,"score_spread":0.2308323454995583,"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."}}