{"id":"W4416219215","doi":"10.1007/978-3-032-08603-7_6","title":"Mental Health Resource Retrieval Using Semantic Similarity and Knowledge Graphs","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Leverage (statistics); Resource (disambiguation); Ranking (information retrieval); Bridge (graph theory); Semantic similarity; Similarity (geometry); Mental health; Learning to rank; Semantics (computer science)","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":[0.0006381852,0.0005194808,0.0008232959,0.007166354,0.0005600183,0.002186062,0.0008019995,0.0007329517,0.00344012],"category_scores_gemma":[0.003422968,0.0002582181,0.001112572,0.007044343,0.0003740644,0.003774691,0.00130497,0.000538968,0.001407555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418495,"about_ca_system_score_gemma":0.0008475471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006472901,"about_ca_topic_score_gemma":0.007737639,"domain_scores_codex":[0.9992943,0.0001895848,0.00008640502,0.0001589864,0.0002146714,0.00005607938],"domain_scores_gemma":[0.9990637,0.0005827008,0.00005655038,0.0001160338,0.0001470204,0.00003411945],"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":[0.0003136739,0.0003170755,0.003317975,0.0005268275,0.0002446175,0.0001955252,0.0002976403,0.01877356,0.00904471,0.03129193,0.02150974,0.9141666],"study_design_scores_gemma":[0.0001151294,0.0002747302,0.01041849,0.0002105572,0.0005133921,0.001044429,0.000930523,0.7540398,0.01753876,0.1769108,0.03786734,0.000136009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08477569,0.006070208,0.8771393,0.001050067,0.0002824958,0.0004736219,0.003537857,0.00542733,0.02124347],"genre_scores_gemma":[0.5260669,0.003577949,0.4531721,0.0002914681,0.0002252495,0.0002533447,0.008723309,0.0003963596,0.007293232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007166354,"threshold_uncertainty_score":0.01287043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060005513944425,"score_gpt":0.2691981897450871,"score_spread":0.2485981346056428,"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."}}