{"id":"W4398493805","doi":"10.7910/dvn/pkjufn/iftsdq","title":"FCC2002.151.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":[0.00137998,0.003190117,0.001844647,0.004941362,0.001207181,0.004146738,0.004156449,0.003239452,0.1738048],"category_scores_gemma":[0.008152739,0.0009561249,0.001553356,0.008713827,0.0006852187,0.002395425,0.002523616,0.002048999,0.2453486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211253,"about_ca_system_score_gemma":0.002770096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04646537,"about_ca_topic_score_gemma":0.07150301,"domain_scores_codex":[0.9986662,0.0002740114,0.0001289051,0.0003977347,0.0002592423,0.0002738267],"domain_scores_gemma":[0.9969651,0.0006992727,0.0002389242,0.0008886606,0.0008558052,0.0003522991],"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":[0.00002961832,0.000008421563,0.0001457796,0.0002475899,0.00001282013,0.00000656313,0.000008413012,0.0001121252,0.0000351832,0.0002794115,0.9984545,0.0006595828],"study_design_scores_gemma":[0.0002630358,0.00002056816,0.001510166,0.000298413,0.0000249535,0.00003313756,0.00006458405,0.0004449679,0.0002709815,0.001351908,0.9956863,0.00003106899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004607043,0.00004487164,0.00002965339,0.00006180516,0.00002712151,0.000004673865,0.9985391,0.0004433731,0.0008033726],"genre_scores_gemma":[0.0002130557,0.00003518148,0.000106344,0.00005301232,0.000008760102,0.00002638313,0.9988152,0.0001286073,0.0006135326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261952,"threshold_uncertainty_score":0.581435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}