{"id":"W4398660601","doi":"10.7910/dvn/pkjufn/nhkojj","title":"FCC2002.104.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":[0.0004325375,0.0009750427,0.001009941,0.0002583028,0.0001970175,0.0002985087,0.002661973,0.0006316688,0.2375331],"category_scores_gemma":[0.001414399,0.00103775,0.0003408447,0.0006735777,0.0002607426,0.0006031338,0.00165731,0.00146046,0.994874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093882,"about_ca_system_score_gemma":0.0003238901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004327965,"about_ca_topic_score_gemma":0.0003947822,"domain_scores_codex":[0.9950373,0.0002821644,0.0007233656,0.001483663,0.001541959,0.0009315317],"domain_scores_gemma":[0.9944375,0.0001570367,0.0005352759,0.004036739,0.0001049977,0.0007284245],"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":[0.0002012264,0.0001480968,0.000002266122,0.0002546463,0.0002598959,0.001306594,0.00002389866,0.000003722286,0.00010845,0.0000160581,0.9975688,0.0001063694],"study_design_scores_gemma":[0.00103771,0.00008274783,0.00001233003,0.0001287753,0.0006066841,0.0000586085,0.00005605248,0.00002433332,0.00004344368,0.00001182341,0.9968537,0.001083808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001846324,7.176841e-7,0.000008240083,0.000007100793,0.001144747,0.0006160293,0.9968604,0.0004484433,0.0009125083],"genre_scores_gemma":[0.000001987536,0.0001712134,0.0003838839,0.001333087,0.001238941,0.00006066091,0.9960376,0.0002538845,0.0005187319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7573409,"threshold_uncertainty_score":0.9992073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248404209412267,"score_gpt":0.2530797822490043,"score_spread":0.2282393613077776,"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."}}