{"id":"W4398655225","doi":"10.7910/dvn/pkjufn/vsjz9p","title":"FCC2003.153.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":[0.001359275,0.003101271,0.001811287,0.004808628,0.001168848,0.004079759,0.004024656,0.003099611,0.1838344],"category_scores_gemma":[0.008302282,0.0009694595,0.001580262,0.008533654,0.000684609,0.002389696,0.002504658,0.002050012,0.2540046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219092,"about_ca_system_score_gemma":0.002742513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04673024,"about_ca_topic_score_gemma":0.06956424,"domain_scores_codex":[0.9986839,0.0002681145,0.0001282538,0.0003930972,0.0002597456,0.0002669244],"domain_scores_gemma":[0.9968377,0.000744247,0.0002428719,0.0009386198,0.000882785,0.0003537159],"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":[0.00002829069,0.000007378947,0.000137916,0.0002294871,0.00001223332,0.000005860281,0.000007775984,0.0001098612,0.0000318108,0.0002666849,0.9985293,0.0006333647],"study_design_scores_gemma":[0.0002583108,0.00001908118,0.0014971,0.0002873311,0.00002447591,0.00003236383,0.00006357329,0.0004551041,0.0002695172,0.001457022,0.9956053,0.00003066584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004208532,0.00004145205,0.00002959985,0.00006131255,0.00002658564,0.000004273887,0.9986104,0.0004373975,0.0007468435],"genre_scores_gemma":[0.0002211455,0.00003634497,0.0001080757,0.00005461362,0.000009476767,0.00002643739,0.9987404,0.0001454624,0.0006580034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8161656,"threshold_uncertainty_score":0.6149872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}