{"id":"W4398617211","doi":"10.7910/dvn/pkjufn/brhim5","title":"FCC2003.078.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":[0.001517444,0.003018097,0.001771885,0.004847866,0.001149863,0.003717752,0.004189057,0.002966274,0.1762945],"category_scores_gemma":[0.009521496,0.0009548045,0.001558941,0.007767975,0.0006934144,0.002244024,0.002490969,0.002023519,0.2340392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002027617,"about_ca_system_score_gemma":0.002657957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04583341,"about_ca_topic_score_gemma":0.06955271,"domain_scores_codex":[0.9986972,0.0002696456,0.0001153766,0.0003970319,0.0002578528,0.0002629209],"domain_scores_gemma":[0.9965707,0.0008194877,0.0002554894,0.001012407,0.000933958,0.0004079053],"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":[0.00002556332,0.000006467416,0.0001442507,0.0001952589,0.00001206451,0.000004858175,0.000007044417,0.0001124798,0.00002537249,0.0002316034,0.9985976,0.0006374794],"study_design_scores_gemma":[0.0002877664,0.00002003214,0.0017103,0.0002814547,0.00002845437,0.00003123283,0.00006791227,0.0005804347,0.0002628329,0.001740748,0.9949545,0.00003426868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004888179,0.00004385686,0.00003342062,0.00007816155,0.00003136392,0.000004820118,0.9986219,0.0004675093,0.000670023],"genre_scores_gemma":[0.0002741885,0.00003959455,0.0001314798,0.00006560548,0.00001352644,0.00003290806,0.9985352,0.0001586904,0.0007488016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8237056,"threshold_uncertainty_score":0.5897638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473253945859034,"score_gpt":0.2551179467953728,"score_spread":0.2303854073367824,"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."}}