{"id":"W4398613621","doi":"10.7910/dvn/pkjufn/zxmfvh","title":"FCC2003.011.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":[0.001511971,0.003112545,0.001813838,0.00482903,0.001203356,0.003709147,0.004322563,0.003117423,0.1735558],"category_scores_gemma":[0.00975881,0.0009808957,0.001583723,0.007504204,0.0006971486,0.002223416,0.002535689,0.00205971,0.2217723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136946,"about_ca_system_score_gemma":0.002738113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04684582,"about_ca_topic_score_gemma":0.07160395,"domain_scores_codex":[0.9986891,0.0002736093,0.0001155424,0.0004050054,0.0002581396,0.0002585219],"domain_scores_gemma":[0.9965202,0.0008776349,0.0002560577,0.001011567,0.0009236537,0.0004109596],"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":[0.00002718106,0.000006703344,0.0001497434,0.0002179288,0.00001292064,0.000005199473,0.000007546784,0.0001217524,0.00002646939,0.0002492036,0.9985428,0.0006326108],"study_design_scores_gemma":[0.0003097685,0.00001996071,0.00165895,0.0002956847,0.00002998921,0.00003273379,0.00006655321,0.0006145192,0.0002691827,0.001842451,0.9948246,0.0000354988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942667,0.00004606818,0.00003515826,0.00008074922,0.00003065944,0.000005023082,0.998634,0.0004796001,0.000639357],"genre_scores_gemma":[0.00027531,0.00004009484,0.0001431562,0.00006853538,0.00001328692,0.0000344222,0.9985573,0.000164415,0.0007034677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8264441,"threshold_uncertainty_score":0.580602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505672558922702,"score_gpt":0.2544559762150563,"score_spread":0.2293992506258292,"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."}}