{"id":"W4398328247","doi":"10.7910/dvn/pkjufn/urk1rx","title":"FCC2002.082.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":[0.001536361,0.00308957,0.001754246,0.004936847,0.001169501,0.003712404,0.004198853,0.003020491,0.1673798],"category_scores_gemma":[0.009630286,0.0009388188,0.001534628,0.00760384,0.000703845,0.002297044,0.002510011,0.002023419,0.2258953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064932,"about_ca_system_score_gemma":0.002671275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0464723,"about_ca_topic_score_gemma":0.07034966,"domain_scores_codex":[0.9986658,0.0002764168,0.0001131767,0.0004076878,0.0002702957,0.0002666837],"domain_scores_gemma":[0.9965633,0.0008011906,0.0002544269,0.001024579,0.0009368113,0.0004197208],"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":[0.00002589673,0.000006806538,0.0001473507,0.0001933792,0.00001218813,0.000005083627,0.000007106438,0.0001182999,0.00002702448,0.0002386448,0.9985744,0.0006437557],"study_design_scores_gemma":[0.0002818773,0.00002089422,0.00174572,0.0002853344,0.00002866144,0.00003237852,0.00007018061,0.0006107345,0.0002753111,0.001768098,0.9948456,0.00003510103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005306308,0.00004629237,0.00003464283,0.00008200524,0.00003222157,0.000005022663,0.9985822,0.0004778928,0.0006865963],"genre_scores_gemma":[0.0002777622,0.00003880098,0.000133775,0.00006418172,0.00001330152,0.00003206879,0.9985614,0.0001529258,0.0007256977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326201,"threshold_uncertainty_score":0.5599414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495228267383107,"score_gpt":0.2535437851052566,"score_spread":0.2285915024314255,"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."}}