{"id":"W2914946984","doi":"","title":"Proceedings of the 5th international conference on Similarity Search and Applications","year":2012,"lang":"en","type":"article","venue":"Similarity Search and Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Similarity (geometry); Computer science; Information retrieval; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004654354,0.0001113209,0.000127177,0.00007488874,0.0003567191,0.0001441585,0.0008228894,0.00007463111,0.00001151199],"category_scores_gemma":[0.00003153545,0.0000845804,0.0000361155,0.000323287,0.0003522155,0.0003049054,0.0005620583,0.000286682,0.000007687479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267585,"about_ca_system_score_gemma":0.00006489357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006706958,"about_ca_topic_score_gemma":0.00001895303,"domain_scores_codex":[0.9988457,0.00002483594,0.0001725646,0.0003110766,0.0003545838,0.0002912485],"domain_scores_gemma":[0.9991093,0.0001092113,0.00004106565,0.0003362108,0.0002567652,0.0001475004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004482008,0.0001823434,0.02690006,0.00004158277,0.00001631036,4.747397e-8,0.0004750335,0.000003357804,0.001457872,0.9500918,0.0002221252,0.02060493],"study_design_scores_gemma":[0.001061898,0.0001700832,0.801205,0.00008690406,0.00004942394,0.00005191963,0.002793432,0.02689772,0.02550977,0.08407084,0.05739997,0.0007030536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5048322,0.001297571,0.3207358,0.07325102,0.0002865981,0.006331898,0.000307186,0.0005365868,0.09242117],"genre_scores_gemma":[0.9944817,0.0002316639,0.004507601,0.0002993263,0.0001166371,0.0002155147,0.000004530169,0.000004989698,0.0001379996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866021,"threshold_uncertainty_score":0.3449088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917245215482669,"score_gpt":0.3321639847080838,"score_spread":0.2629915325532571,"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."}}