{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004197418,0.006477207,0.003277774,0.009150675,0.001795662,0.00607864,0.010967,0.003294778,0.1610259],"category_scores_gemma":[0.02458994,0.003553824,0.005434353,0.01056752,0.001110538,0.009803872,0.007681935,0.00548016,0.2329155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060082,"about_ca_system_score_gemma":0.005157291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558991,"about_ca_topic_score_gemma":0.02621147,"domain_scores_codex":[0.9954413,0.0005942092,0.0005612784,0.001483893,0.001510547,0.0004088227],"domain_scores_gemma":[0.9916808,0.001895624,0.0003321846,0.003929401,0.001830783,0.0003311],"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":[0.0001243096,0.00006645387,0.0003404861,0.0010208,0.00008068242,0.00005891654,0.00005094029,0.00156958,0.0003358142,0.002512698,0.9766608,0.01717852],"study_design_scores_gemma":[0.0004893872,0.00005742718,0.001103786,0.0004730849,0.0001028524,0.0002338715,0.0001359882,0.01539852,0.004266932,0.02050528,0.9571176,0.0001153061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006848163,0.0004964283,0.01936978,0.0002991038,0.000336827,0.0002931574,0.7593841,0.2098117,0.009324028],"genre_scores_gemma":[0.001912815,0.0001924404,0.02075632,0.0002052397,0.00002704945,0.0005010354,0.958033,0.01579346,0.002578653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1610259,"threshold_uncertainty_score":0.5386853,"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."}}