{"id":"W4398706782","doi":"10.7910/dvn/pkjufn/v380gk","title":"FCC2003.091.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":[0.001525878,0.003008286,0.001759677,0.004880985,0.001164855,0.003695048,0.00420691,0.002981712,0.1724749],"category_scores_gemma":[0.009788727,0.0009446663,0.001579808,0.007696973,0.0006851461,0.002238755,0.002491878,0.002007601,0.2246128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082196,"about_ca_system_score_gemma":0.002713704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04759416,"about_ca_topic_score_gemma":0.07227182,"domain_scores_codex":[0.9986696,0.0002759846,0.0001184545,0.0004083228,0.0002626185,0.0002650465],"domain_scores_gemma":[0.9964657,0.0008621803,0.0002607367,0.001030449,0.0009674124,0.0004135215],"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":[0.00002673035,0.000006553091,0.0001514971,0.0002010768,0.00001251667,0.00000505118,0.000007169268,0.0001179438,0.00002577253,0.0002425359,0.9985648,0.0006383535],"study_design_scores_gemma":[0.0002923317,0.00002063102,0.001774666,0.0002931986,0.00002942826,0.0000325871,0.00006835284,0.0006148316,0.0002649117,0.001820092,0.994754,0.00003519392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004946371,0.00004355833,0.00003365157,0.00007676271,0.00003081987,0.000004883662,0.9986344,0.0004593211,0.0006670879],"genre_scores_gemma":[0.0002734733,0.00003745778,0.0001319303,0.00006440378,0.0000130115,0.00003216057,0.9985753,0.0001548883,0.0007173926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275251,"threshold_uncertainty_score":0.5769861,"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."}}