{"id":"W2402783308","doi":"","title":"Universal screening in Alberta : Former family physician introduces innovative hearing screening program for newborns","year":2000,"lang":"en","type":"article","venue":"PubMed Central","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine; Family medicine; Speech recognition","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":[0.0006685918,0.0002685571,0.0001511451,0.0006788613,0.002879944,0.0007414981,0.001139895,0.001594398,0.01227647],"category_scores_gemma":[0.00188962,0.0002253693,0.0002093091,0.000349393,0.0005129361,0.0004256275,0.001394538,0.000977803,0.000700846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005097327,"about_ca_system_score_gemma":0.0300533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5116768,"about_ca_topic_score_gemma":0.829303,"domain_scores_codex":[0.9995803,0.0000535394,0.00002283931,0.00005709259,0.00008828443,0.0001978333],"domain_scores_gemma":[0.9985904,0.0001354343,0.00005054561,0.00004128509,0.0002397619,0.0009425033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000343214,0.002095327,0.233568,0.0003143928,0.00003230462,0.01989471,0.003516912,0.0008333895,0.008903028,0.002505574,0.182433,0.5455601],"study_design_scores_gemma":[0.0004030218,0.001638783,0.6845594,0.000807256,0.0001624372,0.01676433,0.01399252,0.001801244,0.005765389,0.002694034,0.2712812,0.0001303876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7041157,0.006405075,0.006182102,0.13589,0.003917185,0.001597407,0.001165556,0.001902693,0.1388243],"genre_scores_gemma":[0.8347591,0.007427991,0.02232205,0.04225741,0.001425899,0.0004597935,0.000729206,0.0001639809,0.09045464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4883232,"threshold_uncertainty_score":0.982398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395970330889048,"score_gpt":0.2703587031140229,"score_spread":0.2363989998051325,"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."}}