{"id":"W4398416834","doi":"10.7910/dvn/pkjufn/u30ix6","title":"FCC2002.358.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":[0.001452606,0.003090316,0.001741452,0.005025547,0.001172638,0.003785535,0.004147492,0.003056294,0.1652059],"category_scores_gemma":[0.008758618,0.0009574449,0.001589703,0.008082881,0.0006740321,0.002263336,0.002400914,0.001999436,0.2238065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113365,"about_ca_system_score_gemma":0.002579081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04642541,"about_ca_topic_score_gemma":0.06837534,"domain_scores_codex":[0.9987128,0.0002661888,0.0001175145,0.0003919509,0.0002516761,0.0002599541],"domain_scores_gemma":[0.9968425,0.00075087,0.0002440144,0.0009429623,0.0008515981,0.0003681898],"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":[0.0000290506,0.000007489119,0.0001505465,0.0002338366,0.00001349943,0.000005736534,0.000007795758,0.0001246656,0.00003120279,0.0002730242,0.9984341,0.000689035],"study_design_scores_gemma":[0.0002810004,0.00002115564,0.001688984,0.0002950937,0.00002854959,0.0000339232,0.0000668439,0.0005767332,0.0002770518,0.001663107,0.9950334,0.00003420273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000049927,0.00004688195,0.00003327194,0.0000719691,0.00002864126,0.000004662777,0.998594,0.0004691919,0.000701458],"genre_scores_gemma":[0.0002651138,0.00004017328,0.0001271987,0.00005922652,0.00001158278,0.00002959368,0.9986565,0.0001428671,0.0006677608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834794,"threshold_uncertainty_score":0.5526689,"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."}}