{"id":"W4398411661","doi":"10.7910/dvn/pkjufn/jwtjrk","title":"FCC2002.156.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":[0.0004261034,0.0009743463,0.001009126,0.0002583395,0.0001969287,0.0002983598,0.002660008,0.0006315455,0.2253885],"category_scores_gemma":[0.001399,0.001036303,0.0003364041,0.0006721833,0.0002609464,0.0006024814,0.001665584,0.001459231,0.9946782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086325,"about_ca_system_score_gemma":0.0003234071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004457496,"about_ca_topic_score_gemma":0.0003921844,"domain_scores_codex":[0.9950599,0.0002824322,0.0007224535,0.001482274,0.001522529,0.000930405],"domain_scores_gemma":[0.9944417,0.0001566612,0.0005346993,0.004035556,0.0001037647,0.000727553],"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":[0.0002001176,0.0001478557,0.000002444891,0.0002517349,0.0002592882,0.001316965,0.00002420474,0.000003823713,0.0001047458,0.00001716608,0.9975718,0.00009982238],"study_design_scores_gemma":[0.001026819,0.00008264671,0.00001282038,0.0001298379,0.0006054732,0.00005786641,0.00005671769,0.00002560305,0.00004385866,0.00001195333,0.9968647,0.001081655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002001153,7.063256e-7,0.000008035963,0.000007234365,0.001165252,0.0006146267,0.9969029,0.0004479726,0.0008512534],"genre_scores_gemma":[0.000002129981,0.0001772985,0.0003861654,0.001351148,0.001242585,0.000060739,0.9960511,0.0002532433,0.0004756296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7692897,"threshold_uncertainty_score":0.9992087,"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."}}