{"id":"W4398737045","doi":"10.7910/dvn/pkjufn/bbkpxq","title":"FCC2002.147.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":[0.0004316666,0.0009747832,0.001009759,0.0002762334,0.0001967381,0.00029844,0.002659431,0.0006318727,0.2320298],"category_scores_gemma":[0.001359431,0.001037237,0.0003364902,0.0007110907,0.0002600722,0.0006035108,0.00166541,0.001454447,0.994744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971715,"about_ca_system_score_gemma":0.0003158803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004322652,"about_ca_topic_score_gemma":0.000368177,"domain_scores_codex":[0.9950567,0.0002831277,0.0007230885,0.001482856,0.001522926,0.0009312677],"domain_scores_gemma":[0.994443,0.0001573618,0.000534983,0.004033154,0.0001037284,0.0007277502],"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":[0.000201257,0.0001480356,0.000002238956,0.0002552494,0.0002593689,0.001339204,0.00002561559,0.000003714636,0.0001182509,0.00001606764,0.9975353,0.0000957245],"study_design_scores_gemma":[0.001036108,0.00008274896,0.00001159868,0.0001289317,0.000606095,0.00005834796,0.00006476747,0.00002377106,0.00004618678,0.00001192666,0.9968463,0.001083216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001998528,7.1418e-7,0.000008294596,0.000007061146,0.001166226,0.0006166692,0.9968959,0.0004481321,0.0008549793],"genre_scores_gemma":[0.00000209183,0.0001934855,0.0003868871,0.001342373,0.001234951,0.0000609055,0.9960622,0.0002533443,0.0004637623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7627141,"threshold_uncertainty_score":0.9992078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494662596094914,"score_gpt":0.2535290891124116,"score_spread":0.2285824631514625,"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."}}