{"id":"W4392110993","doi":"10.3390/modelling5010016","title":"Intent Identification by Semantically Analyzing the Search Query","year":2024,"lang":"en","type":"article","venue":"Modelling—International Open Access Journal of Modelling in Engineering Science","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Web search query; Computer science; Identification (biology); Information retrieval; Query expansion; Web query classification; Query optimization; Search engine","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":[0.001070708,0.0009800208,0.001016405,0.002595735,0.0003856141,0.001387739,0.0007337061,0.0008186864,0.001629463],"category_scores_gemma":[0.004563992,0.0002906481,0.0009625221,0.001306074,0.0004014653,0.002974536,0.001772651,0.0008830038,0.001789789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004035029,"about_ca_system_score_gemma":0.0007954323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711618,"about_ca_topic_score_gemma":0.002942215,"domain_scores_codex":[0.999105,0.0002195495,0.00008782828,0.0002364505,0.0002598836,0.00009126541],"domain_scores_gemma":[0.9984648,0.0005721262,0.0002036013,0.0003061961,0.0003773289,0.00007592674],"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":[0.001567667,0.0006454832,0.02560771,0.0008349104,0.0001949249,0.0006673248,0.002924104,0.01591866,0.2400777,0.0200131,0.009552957,0.6819955],"study_design_scores_gemma":[0.00004229616,0.0004415518,0.009354256,0.0000766184,0.000144191,0.0009462495,0.0008360153,0.9021538,0.05505826,0.0230873,0.007751287,0.0001081055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314804,0.0006902203,0.8497961,0.0004455322,0.00005753478,0.0003833252,0.001246315,0.0105401,0.005360445],"genre_scores_gemma":[0.744673,0.0004097205,0.2485217,0.0002259298,0.00006499701,0.0001649781,0.002606373,0.0002954598,0.003037876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002711618,"threshold_uncertainty_score":0.005662501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06832558378806373,"score_gpt":0.3581409375351658,"score_spread":0.289815353747102,"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."}}