{"id":"W4398718843","doi":"10.7910/dvn/pkjufn/qo3szz","title":"FCC2002.283.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":[0.001438849,0.003278566,0.001793455,0.005052766,0.001183057,0.003685674,0.004270921,0.003186289,0.1642567],"category_scores_gemma":[0.008626771,0.0009631967,0.001555446,0.007984379,0.0007247433,0.002376265,0.002483356,0.002066243,0.2300908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132575,"about_ca_system_score_gemma":0.002605363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0416006,"about_ca_topic_score_gemma":0.06163462,"domain_scores_codex":[0.9986492,0.0002871293,0.0001212259,0.0004170894,0.0002656798,0.0002597415],"domain_scores_gemma":[0.9968696,0.000750423,0.0002407153,0.0009529433,0.0008078312,0.0003783969],"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":[0.00003080041,0.000008478105,0.0001470924,0.0002495227,0.00001375112,0.000006316173,0.000008174982,0.0001304996,0.00003595123,0.0002531926,0.9984066,0.0007097002],"study_design_scores_gemma":[0.0002851579,0.00002397055,0.001639161,0.0002918885,0.00002934251,0.00003849995,0.0000684644,0.0006201746,0.0003113247,0.001605245,0.9950519,0.00003488346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005887759,0.00005369257,0.00003675159,0.00007491906,0.00002995129,0.000005455535,0.9984767,0.000524173,0.000739542],"genre_scores_gemma":[0.0002592087,0.0000381696,0.0001215297,0.00005654557,0.000009935395,0.00002957961,0.9987405,0.0001351654,0.0006094496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8357433,"threshold_uncertainty_score":0.5494933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496978724223149,"score_gpt":0.2535201035218388,"score_spread":0.2285503162796074,"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."}}