{"id":"W7127205436","doi":"","title":"The Early Bird Gets the Words: Improving Access to Speech Therapy Services in Canada","year":2025,"lang":"","type":"article","venue":"Scholarship@Western (Western University)","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Voice therapy; Training (meteorology); Speech therapy; Action (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002041042,0.0002965245,0.0004996948,0.001442766,0.01620637,0.005763046,0.003664043,0.002085677,0.01545938],"category_scores_gemma":[0.01016689,0.0005690164,0.0005326896,0.003213713,0.002455578,0.001997013,0.004974619,0.003704274,0.0006330051],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1503953,"about_ca_system_score_gemma":0.4221821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99849,"about_ca_topic_score_gemma":0.9996195,"domain_scores_codex":[0.99446,0.0004647493,0.0001814702,0.0002958206,0.001578767,0.003019213],"domain_scores_gemma":[0.9808692,0.0009281732,0.0007921914,0.0001295766,0.004709963,0.01257082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006945985,0.001394257,0.4423476,0.001053227,0.0001561595,0.002235916,0.0786143,0.001234831,0.001416052,0.01365411,0.1539049,0.3032941],"study_design_scores_gemma":[0.0001811274,0.0003809566,0.6891317,0.001645769,0.0001746856,0.0005652821,0.2009589,0.001948116,0.0005146599,0.002116343,0.1021565,0.000225944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8439029,0.004614952,0.0003830373,0.08704359,0.0004840168,0.0004031456,0.002028369,0.0000721165,0.06106782],"genre_scores_gemma":[0.9655474,0.003586483,0.001104012,0.009600061,0.0000749028,0.0001369867,0.000566028,0.00005941335,0.01932475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1503953,"threshold_uncertainty_score":0.985421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212386584173528,"score_gpt":0.4065048473198867,"score_spread":0.2852661889025339,"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."}}