{"id":"W4398315072","doi":"10.7910/dvn/pkjufn/j7hp3c","title":"FCC2003.287.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004313746,0.0009921652,0.00102728,0.0004177511,0.0002004969,0.0002992134,0.002644664,0.0006498804,0.227112],"category_scores_gemma":[0.001412493,0.001057926,0.0003177887,0.0008182378,0.0002658133,0.0006080872,0.001604095,0.001465349,0.9955643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130951,"about_ca_system_score_gemma":0.0004818737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006940386,"about_ca_topic_score_gemma":0.0004054254,"domain_scores_codex":[0.9952793,0.0003003101,0.0007333476,0.001518187,0.001216054,0.0009527629],"domain_scores_gemma":[0.9943362,0.0001321919,0.0005454234,0.004098858,0.0001421635,0.000745133],"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":[0.0001904857,0.0001478274,0.000002046174,0.0002575344,0.0002643571,0.001339694,0.00002534204,0.000005172551,0.00008018933,0.00002480586,0.9975985,0.00006405739],"study_design_scores_gemma":[0.001069801,0.00008255996,0.00001560379,0.0001293331,0.0006092231,0.00006197349,0.00005877496,0.00002670016,0.00002597413,0.00001349192,0.9968001,0.001106437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001515895,7.957369e-7,0.000008740753,0.00000714065,0.001306757,0.000649862,0.9967886,0.0004739161,0.0007626598],"genre_scores_gemma":[0.000001456258,0.0002051569,0.0004357573,0.001494511,0.00119741,0.00006117709,0.995914,0.0002582008,0.0004323657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7684524,"threshold_uncertainty_score":0.9991871,"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."}}