{"id":"W4398561849","doi":"10.7910/dvn/pkjufn/zs3038","title":"FCC2003.175.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":[0.001395122,0.00305691,0.001786953,0.0049847,0.0011781,0.003969954,0.004117122,0.003107153,0.181869],"category_scores_gemma":[0.0080704,0.0009712013,0.001538882,0.008566933,0.0006957852,0.002357025,0.002505539,0.002017257,0.2543582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141993,"about_ca_system_score_gemma":0.002643298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04353496,"about_ca_topic_score_gemma":0.06525661,"domain_scores_codex":[0.9987566,0.0002543042,0.0001189181,0.000375119,0.0002410484,0.000253849],"domain_scores_gemma":[0.9970559,0.0006776972,0.0002343641,0.0008898771,0.000797562,0.0003446304],"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":[0.00002845221,0.000007352639,0.000136736,0.0002368119,0.00001258674,0.000005879862,0.000007945134,0.0001078464,0.00003287678,0.0002625555,0.9984987,0.0006621754],"study_design_scores_gemma":[0.0002570415,0.00001920759,0.001522652,0.0002834143,0.00002525483,0.00003328,0.0000617318,0.0004462632,0.0002645706,0.001442353,0.9956127,0.00003142631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004524019,0.00004624281,0.00003069082,0.00006312138,0.00002784011,0.000004492866,0.9985764,0.0004507678,0.0007552201],"genre_scores_gemma":[0.0002285189,0.00003826342,0.0001117919,0.00005661318,0.00001015515,0.00002817103,0.9987311,0.0001406509,0.0006547842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.818131,"threshold_uncertainty_score":0.6084125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}