{"id":"W3033239918","doi":"10.1145/3345842","title":"Artifact","year":2019,"lang":"en","type":"dataset","venue":"Artifact Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Artifact (error); Computer science; Artificial intelligence","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004140624,0.001555197,0.001501173,0.0007922599,0.0001780537,0.001847283,0.001624586,0.000838173,0.00375341],"category_scores_gemma":[0.0006571304,0.001455892,0.0009046781,0.0008824682,0.0002862201,0.002554146,0.0007843706,0.001418705,0.5727582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474262,"about_ca_system_score_gemma":0.0002799167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065705,"about_ca_topic_score_gemma":0.000227675,"domain_scores_codex":[0.9934224,0.0001354535,0.001230171,0.001760204,0.00163915,0.001812569],"domain_scores_gemma":[0.9944585,0.0005268525,0.0008249594,0.003458811,0.0001411126,0.0005897454],"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":[0.0001642995,0.0005737916,0.000266678,0.0001651459,0.0003385817,0.0002127238,0.00002359108,0.0000142988,0.0001557358,0.00001254762,0.99551,0.002562567],"study_design_scores_gemma":[0.0006915759,0.0004718576,0.0008523877,0.0001823209,0.0001878125,0.00009810044,0.00003647252,0.00001492018,0.0002080873,0.0002742368,0.9952285,0.001753736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003208511,0.0001383964,0.000007508859,0.00003209861,0.001540753,0.001192726,0.9858738,0.0005570268,0.007449187],"genre_scores_gemma":[0.03399054,0.00002701064,0.00001431427,0.0003621055,0.0005535366,0.00008718151,0.9629681,0.0003956245,0.001601571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5690048,"threshold_uncertainty_score":0.9997196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235206150082687,"score_gpt":0.2661854378167956,"score_spread":0.2438333763159687,"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."}}