{"id":"W4398578312","doi":"10.7910/dvn/pkjufn/l1nej6","title":"FCC2003.227.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004316148,0.0009929078,0.001028485,0.000419538,0.0002007578,0.00030024,0.002646728,0.0006506196,0.2298425],"category_scores_gemma":[0.001403214,0.001058728,0.0003180505,0.00082147,0.0002705675,0.0006120426,0.001603645,0.001472739,0.9956223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128546,"about_ca_system_score_gemma":0.000483532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006857861,"about_ca_topic_score_gemma":0.0003988623,"domain_scores_codex":[0.9952772,0.0003004549,0.0007347598,0.001516542,0.001217373,0.0009537036],"domain_scores_gemma":[0.9943415,0.0001304569,0.0005459946,0.004094038,0.0001425006,0.000745524],"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":[0.0001909599,0.0001480622,0.000002015687,0.0002585727,0.0002645685,0.001340818,0.00002536184,0.000003598161,0.00009932862,0.00002542294,0.9975756,0.00006572403],"study_design_scores_gemma":[0.001077909,0.00008249079,0.00001151408,0.0001295823,0.0006101778,0.00006204322,0.00005822971,0.00002031719,0.00003898636,0.00001385857,0.9967911,0.001103749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001688646,8.089149e-7,0.000009304321,0.000006874479,0.001312964,0.0006515073,0.9967526,0.0004796364,0.0007846161],"genre_scores_gemma":[0.000001363684,0.0002046854,0.0004439008,0.001484205,0.001199291,0.00006164594,0.9959083,0.0002608176,0.0004357601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7657798,"threshold_uncertainty_score":0.9991863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472958397361579,"score_gpt":0.2551524866213382,"score_spread":0.2304229026477224,"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."}}