{"id":"W4398390324","doi":"10.7910/dvn/pkjufn/79sffk","title":"FCC2003.139.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":[0.001461053,0.003349109,0.001907788,0.005053471,0.001206553,0.004237662,0.004212539,0.00333384,0.1758235],"category_scores_gemma":[0.00839006,0.000973484,0.001730265,0.00888689,0.0007029256,0.002377407,0.002530673,0.002037561,0.2497185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295266,"about_ca_system_score_gemma":0.002939773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04908397,"about_ca_topic_score_gemma":0.07478677,"domain_scores_codex":[0.9985581,0.0002962721,0.0001460503,0.0004204074,0.0002857414,0.0002934298],"domain_scores_gemma":[0.9968113,0.0007394737,0.0002470496,0.0009332071,0.0009069968,0.0003618692],"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":[0.00003082459,0.000008502363,0.0001460346,0.0002668309,0.00001396327,0.000006949711,0.00000850611,0.000116197,0.00003616957,0.0002571266,0.9984313,0.0006776887],"study_design_scores_gemma":[0.0002771596,0.00002126701,0.001537547,0.0003259496,0.00002736484,0.00003655861,0.00006417178,0.0004697537,0.0002841083,0.001345721,0.9955781,0.0000323853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004376357,0.00004595222,0.0000298554,0.00005916062,0.00002653458,0.000004679278,0.9986162,0.0004660438,0.0007077521],"genre_scores_gemma":[0.0001985009,0.00003597238,0.0001083629,0.0000523131,0.000008586714,0.00002692611,0.9988546,0.0001371671,0.0005775107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8241765,"threshold_uncertainty_score":0.5881882,"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."}}