{"id":"W6968975868","doi":"10.5281/zenodo.6936226","title":"OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"OpenAlex","funders":"","keywords":"Transparency (behavior); Microsoft excel; Open data; Semantic Web; Index (typography); Graph","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"],"consensus_categories":[],"category_scores_codex":[0.0008641749,0.0001102127,0.0001520655,0.0002049041,0.002773934,0.001849241,0.003246704,0.00003742461,0.0009015113],"category_scores_gemma":[0.0002887907,0.000126036,0.000029668,0.001208695,0.0002016845,0.002152448,0.009106253,0.0005420246,0.0001324239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009756198,"about_ca_system_score_gemma":0.00001359541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589149,"about_ca_topic_score_gemma":3.447929e-7,"domain_scores_codex":[0.9981007,0.0005175987,0.0002407304,0.0004477347,0.0004193911,0.0002738569],"domain_scores_gemma":[0.9988021,0.0000290883,0.0001622484,0.0005763084,0.0002764792,0.0001537639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001664159,0.0002751724,0.00009194497,0.00004572238,0.00006514367,0.00007973256,0.002737588,0.004052247,0.002207717,0.2355647,0.0953395,0.6593741],"study_design_scores_gemma":[0.0006511626,0.0002601524,0.001116431,0.00003659353,0.000004736185,0.0001688252,0.0001695856,0.002421326,0.00007661117,0.002241659,0.9926875,0.0001653794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1614211,0.007961457,0.6964101,0.01214942,0.001850092,0.005952958,0.0009543545,0.003534278,0.1097663],"genre_scores_gemma":[0.9958173,0.0001163278,0.002969817,0.0002820965,0.00004112643,2.492193e-7,0.0001913304,0.0002805918,0.0003011288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.897348,"threshold_uncertainty_score":0.9991869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05845903935785887,"score_gpt":0.3004857062332492,"score_spread":0.2420266668753903,"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."}}