{"id":"W4398578312","doi":"10.7910/dvn/pkjufn/l1nej6","title":"FCC2003.227.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":[0.001466781,0.003260052,0.001860127,0.004800996,0.001205575,0.003890354,0.004386675,0.003220177,0.15629],"category_scores_gemma":[0.008094366,0.0009665438,0.001647983,0.008153575,0.0007199572,0.002390996,0.002517536,0.002075836,0.2348687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179727,"about_ca_system_score_gemma":0.002634121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04357904,"about_ca_topic_score_gemma":0.06714274,"domain_scores_codex":[0.9986454,0.0002868807,0.000127886,0.0004036477,0.0002657366,0.0002705435],"domain_scores_gemma":[0.9970848,0.0006597128,0.0002246305,0.0008983712,0.0007942431,0.0003382919],"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":[0.00003057848,0.000008829797,0.0001443202,0.0002492101,0.00001398456,0.000006542895,0.000008065609,0.000129113,0.00003673133,0.0002637666,0.9983965,0.0007123396],"study_design_scores_gemma":[0.0002792988,0.00002290753,0.001608547,0.000291715,0.00002823501,0.00003849505,0.00006573331,0.0005800655,0.0003099521,0.001523465,0.9952176,0.00003407745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005520719,0.0000534316,0.00003603779,0.00007026881,0.00003062109,0.000005405104,0.9984424,0.0005257448,0.0007808938],"genre_scores_gemma":[0.0002355369,0.00003788131,0.000120058,0.00005404443,0.00000982195,0.00002828065,0.9987826,0.000129218,0.0006026166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84371,"threshold_uncertainty_score":0.5228421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472958397361579,"score_gpt":0.2551524866213382,"score_spread":0.2304229026477224,"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."}}