{"id":"W2361908243","doi":"","title":"Based on the Concept of a Set of Information Retrieval Model","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Set (abstract data type); Field (mathematics); Key (lock); Cognitive models of information retrieval; Basis (linear algebra); Simple (philosophy); Natural language processing; Data mining; Human–computer information retrieval; Search engine; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003868875,0.0009764777,0.00114323,0.006417674,0.001972403,0.006727044,0.001964684,0.001889903,0.005726021],"category_scores_gemma":[0.00920971,0.0004316002,0.002496192,0.003788258,0.00382843,0.01784739,0.002535951,0.002200803,0.002294653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003462708,"about_ca_system_score_gemma":0.003485278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002853785,"about_ca_topic_score_gemma":0.001072768,"domain_scores_codex":[0.9922954,0.002040847,0.0007335237,0.001196651,0.003456526,0.0002770118],"domain_scores_gemma":[0.9966175,0.001392202,0.0002598958,0.0007198314,0.0008647888,0.0001457278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002855965,0.00004187269,0.0003271885,0.0001960866,0.00004200179,0.00007560042,0.0004982994,0.002756287,0.0008612732,0.960322,0.002057417,0.03279335],"study_design_scores_gemma":[0.00004799481,0.00009990355,0.0003667049,0.0001720965,0.00009911144,0.0005179871,0.0003836836,0.04358352,0.001944483,0.8876342,0.06507273,0.00007769388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006464346,0.001582533,0.9393687,0.002075319,0.0002476054,0.0002979539,0.0002713711,0.0005412334,0.04915094],"genre_scores_gemma":[0.3059011,0.0038118,0.6664199,0.001530563,0.0008128308,0.001428545,0.001446147,0.0002137517,0.01843543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006727044,"threshold_uncertainty_score":0.02512378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136519028193311,"score_gpt":0.2602731256642523,"score_spread":0.2389079353823192,"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."}}