{"id":"W4393821888","doi":"10.5281/zenodo.7439295","title":"Log Dataset","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009057468,0.002701022,0.001216647,0.004584079,0.0008599926,0.001529807,0.002107468,0.001817787,0.03665855],"category_scores_gemma":[0.005340833,0.0005689925,0.001225949,0.005285431,0.0005114092,0.001314733,0.00130946,0.001661829,0.04463991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037305,"about_ca_system_score_gemma":0.002968888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207284,"about_ca_topic_score_gemma":0.01705014,"domain_scores_codex":[0.998784,0.0001378436,0.0001901683,0.0003200189,0.0003779405,0.0001901395],"domain_scores_gemma":[0.9968362,0.0007676957,0.0002387598,0.001070947,0.0008011223,0.0002852092],"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":[0.0001871212,0.0001477565,0.001309373,0.0006397826,0.00003567369,0.00005751414,0.00002333713,0.001173079,0.0005286656,0.0004613199,0.9883512,0.007085231],"study_design_scores_gemma":[0.0007503253,0.0001562215,0.00970958,0.0002999878,0.00008688836,0.0003055095,0.0002387151,0.007258805,0.00274828,0.003702733,0.9746491,0.00009379134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009396665,0.0000714973,0.0002419738,0.0000919313,0.00005365236,0.0000508014,0.9956474,0.002096448,0.0008065819],"genre_scores_gemma":[0.001465869,0.00006488484,0.0007925872,0.00006075392,0.00001026947,0.0001252757,0.9966794,0.0001182595,0.000682723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03665855,"threshold_uncertainty_score":0.1226351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229074189782631,"score_gpt":0.2699392184992255,"score_spread":0.2276484766013992,"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."}}