{"id":"W4394566016","doi":"10.36227/techrxiv.171259571.14656666/v1","title":"Personalized Context-Oriented Job Recommendation System Based On Knowledge Graph","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Recommender system; Graph; Context (archaeology); Knowledge graph; Knowledge management; Information retrieval; Theoretical computer science; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.001144919,0.0005590715,0.0006794964,0.0007354985,0.0001468059,0.0006748525,0.001188524,0.0004393538,0.00008171279],"category_scores_gemma":[0.00001661849,0.0004587654,0.0004837092,0.000507797,0.00003760473,0.0001200386,0.0014336,0.0009010913,0.0002897815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000503005,"about_ca_system_score_gemma":0.0002907745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888745,"about_ca_topic_score_gemma":0.00006582039,"domain_scores_codex":[0.9966821,0.0004721301,0.0007425394,0.00136059,0.0003599846,0.0003826602],"domain_scores_gemma":[0.9977624,0.0002032867,0.0002796602,0.001324737,0.0002605953,0.0001692503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001870228,0.0001524978,0.00007310015,0.00183238,0.0001504141,0.00002508411,0.0008638575,0.000009421639,0.00001958085,0.8282311,0.1026204,0.06600349],"study_design_scores_gemma":[0.001018959,0.0003276078,0.00007642248,0.004899703,0.00007512137,0.0000317819,0.0004269468,0.6954905,0.001391668,0.01021802,0.2846343,0.001409019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001523067,0.0004857452,0.8112105,0.003427559,0.006591125,0.001119164,0.00004056283,0.003639435,0.1733336],"genre_scores_gemma":[0.9694453,0.00002588163,0.0245465,0.0006880946,0.0003171094,0.0007390497,0.0001200928,0.00007029589,0.004047687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.969293,"threshold_uncertainty_score":0.9997864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210422089316523,"score_gpt":0.2915909820709379,"score_spread":0.2594867611777727,"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."}}