{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0007462776,0.0002169736,0.0001976981,0.0003093454,0.003381566,0.002018627,0.007585973,0.00008768411,0.1064221],"category_scores_gemma":[0.0002718462,0.0002425353,0.00005156735,0.0008698059,0.0001118675,0.0004197909,0.01030417,0.000649665,0.01433544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497614,"about_ca_system_score_gemma":0.000009729545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008944778,"about_ca_topic_score_gemma":5.287241e-7,"domain_scores_codex":[0.9975504,0.0002963219,0.0002960817,0.0008610618,0.0005871693,0.0004089077],"domain_scores_gemma":[0.9969816,0.00003513803,0.0001939634,0.002407486,0.000183942,0.0001978354],"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":[0.00000245177,0.0001156174,8.581847e-9,0.00003019686,0.00002319402,0.00002324939,0.0000432715,0.000005503149,0.000008394402,0.001189331,0.9440612,0.05449758],"study_design_scores_gemma":[0.0001609658,0.0001214097,0.000004542992,0.000009803152,0.00001464175,0.0001599489,0.00002339513,0.0003690085,0.000003557703,0.00009978258,0.9987693,0.0002636603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.74295e-7,0.00005546958,0.01218139,0.0006397577,0.0002008096,0.0002925301,0.9836861,0.0005642995,0.002378713],"genre_scores_gemma":[0.000003061717,0.0001658557,0.001692672,0.0003915148,0.0001337325,1.812796e-7,0.9968764,0.0005160178,0.0002205926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09208661,"threshold_uncertainty_score":0.9990174,"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."}}