{"id":"W4214909787","doi":"10.1109/imcom53663.2022.9721788","title":"Mining Contextual Item Similarity without Concept Hierarchy","year":2022,"lang":"en","type":"article","venue":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Technology Sydney; University of Manitoba","keywords":"Computer science; Data mining; Similarity measure; Similarity (geometry); Measure (data warehouse); Metadata; Heuristic; Information retrieval; Artificial intelligence; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276793,0.0007353409,0.00149918,0.007348483,0.0009972402,0.001327573,0.001570029,0.0009668639,0.001535642],"category_scores_gemma":[0.009206359,0.0004326453,0.001133651,0.008184991,0.0006525416,0.003058193,0.001907684,0.0007033629,0.0006421088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624705,"about_ca_system_score_gemma":0.00159999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031475,"about_ca_topic_score_gemma":0.005869525,"domain_scores_codex":[0.9966016,0.0005502165,0.0003439313,0.0008807756,0.001355934,0.000267554],"domain_scores_gemma":[0.9967654,0.001077928,0.0005226851,0.000684444,0.0007775934,0.0001719774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008599345,0.0008552473,0.07634068,0.0008594237,0.0007411928,0.0007438164,0.0008480707,0.05065938,0.01277857,0.02953021,0.008318476,0.8174651],"study_design_scores_gemma":[0.0001025168,0.0008590575,0.0324292,0.0001151219,0.000306937,0.001283772,0.0008870965,0.8792472,0.009142518,0.06545479,0.01008862,0.00008307017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142371,0.002540915,0.673755,0.0002292076,0.00009804263,0.0006398611,0.00237236,0.00150309,0.004624394],"genre_scores_gemma":[0.7168732,0.0004150995,0.2772585,0.0001026296,0.0001171032,0.0003118858,0.003819316,0.00006542603,0.001036944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007348483,"threshold_uncertainty_score":0.00801605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522629163458004,"score_gpt":0.2831586965514843,"score_spread":0.2479324049169042,"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."}}