{"id":"W4398371283","doi":"10.7910/dvn/pkjufn/q1swsm","title":"FCC2002.013.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":[0.0004237372,0.0009742407,0.00100458,0.0002586066,0.0001922368,0.0003015363,0.002651016,0.0006301036,0.2292085],"category_scores_gemma":[0.001341692,0.001036156,0.0003351393,0.0006722803,0.0002595926,0.0006087526,0.001660887,0.001450966,0.9946712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223757,"about_ca_system_score_gemma":0.000329186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004947209,"about_ca_topic_score_gemma":0.0004097561,"domain_scores_codex":[0.995068,0.0002823897,0.000723083,0.00147863,0.001517486,0.0009303809],"domain_scores_gemma":[0.9944591,0.0001557983,0.0005336548,0.004018005,0.0001044901,0.0007289649],"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":[0.000199682,0.0001419021,0.000002206095,0.0002533129,0.0002582779,0.001275277,0.00002432953,0.000004074799,0.000109486,0.00001590558,0.9976149,0.0001006853],"study_design_scores_gemma":[0.001029049,0.00008356924,0.00001206424,0.0001279398,0.0005976419,0.00005751973,0.00005768418,0.00002756985,0.00004192673,0.00001180987,0.9968715,0.001081668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001975002,7.066261e-7,0.000008251007,0.000007090997,0.001157081,0.0006230192,0.9969328,0.0004641892,0.0008048639],"genre_scores_gemma":[0.000001940427,0.0001852292,0.000401879,0.001357246,0.00122487,0.00006076627,0.9960395,0.000260045,0.0004685487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7654627,"threshold_uncertainty_score":0.9992089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471105995413873,"score_gpt":0.2527933601140623,"score_spread":0.2280823001599236,"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."}}