{"id":"W4393578491","doi":"10.5281/zenodo.7306061","title":"Inductive Freebase and Wikidata for KG Completion","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Database","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006542509,0.0001998346,0.0002036681,0.0003318856,0.002180526,0.002198643,0.002725973,0.00006734955,0.01114284],"category_scores_gemma":[0.0003120766,0.0002056353,0.00005305435,0.0004307019,0.0001356986,0.0007774397,0.006223655,0.0003294315,0.0006779306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194698,"about_ca_system_score_gemma":0.000004957662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000373259,"about_ca_topic_score_gemma":0.000001529098,"domain_scores_codex":[0.9980333,0.0002272095,0.0002316883,0.0007172563,0.000468868,0.0003216982],"domain_scores_gemma":[0.9984808,0.00004528037,0.000172053,0.0008984149,0.000262057,0.0001414019],"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":[0.00001998887,0.0001099641,3.164486e-8,0.0001001976,0.00003639502,0.00001115975,0.0001194696,0.000001758014,0.000007193159,0.01582182,0.9617509,0.02202118],"study_design_scores_gemma":[0.0003654941,0.0003100865,0.00001479347,0.00001427552,0.00001886202,0.00002022779,0.00003525426,0.0003467355,0.000004722744,0.002152083,0.9964756,0.0002418926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004042242,0.00004853251,0.01477712,0.0006483237,0.0002598849,0.0008923164,0.9757926,0.0004422994,0.007098509],"genre_scores_gemma":[0.0002151072,0.00009294249,0.0003970907,0.0002116413,0.0001050448,2.22932e-7,0.9982345,0.0003425712,0.0004009434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03472473,"threshold_uncertainty_score":0.9991185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780102933880967,"score_gpt":0.2479612054627476,"score_spread":0.2001601761239379,"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."}}