{"id":"W2963525873","doi":"10.1145/3332803","title":"GOTO rankings considered helpful","year":2019,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Goto; Data science; Information retrieval; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0002159587,0.00005142669,0.0001062862,0.00003107454,0.0001054975,0.00003197069,0.0406161,0.00002869578,0.00001099537],"category_scores_gemma":[0.002856328,0.00003572227,0.00006493115,0.0002051735,0.0001449332,0.0001333559,0.02499323,0.00009378586,0.00009911178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033555,"about_ca_system_score_gemma":0.00004566814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005465228,"about_ca_topic_score_gemma":0.00002432416,"domain_scores_codex":[0.999455,0.00009951772,0.0001483301,0.0001011851,0.0001039113,0.00009204873],"domain_scores_gemma":[0.9622166,0.0005109302,0.0001038943,0.03707539,0.00008022135,0.00001301474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007055867,0.0001936871,0.06273574,0.00003973185,0.00008642456,3.623814e-7,0.003737026,0.00004570199,0.01333499,0.8571529,0.0525146,0.01015174],"study_design_scores_gemma":[0.0007110368,0.00004233108,0.1007362,0.0001136271,0.00002082833,0.00002154613,0.0003977347,0.005630214,0.01651911,0.8356755,0.03990397,0.0002279638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4652182,0.00426115,0.003542195,0.4651468,0.0009605676,0.0008908435,0.000004327176,0.000332466,0.05964348],"genre_scores_gemma":[0.8496089,0.00005493005,0.1496255,0.0004237797,0.000003127949,0.000006134003,4.511125e-7,0.000002442012,0.0002747662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4647231,"threshold_uncertainty_score":0.9828925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732320868549027,"score_gpt":0.2736180243198283,"score_spread":0.2362948156343381,"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."}}