{"id":"W3134946996","doi":"10.1177/1357633x21998216","title":"eConsult Specialist Quality of Response (eSQUARE): A novel tool to measure specialist correspondence via electronic consultation","year":2021,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Bruyère; University of Ottawa","funders":"","keywords":"Generalizability theory; Formative assessment; Reliability (semiconductor); Quality (philosophy); Measure (data warehouse); Medicine; Psychology; Family medicine; Nursing; Data mining; 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":[0.02699481,0.0006603465,0.0009625783,0.004390639,0.0005276112,0.001366529,0.001124029,0.001017935,0.007310965],"category_scores_gemma":[0.0936895,0.0003708226,0.001730857,0.003660226,0.0005882358,0.001844711,0.002915007,0.001031067,0.00115295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299029,"about_ca_system_score_gemma":0.002048389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348099,"about_ca_topic_score_gemma":0.002520367,"domain_scores_codex":[0.9572755,0.0251944,0.006586518,0.001695452,0.008208701,0.001039422],"domain_scores_gemma":[0.8467294,0.09811334,0.02894015,0.005204272,0.01857903,0.002433785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002031355,0.001212607,0.4701442,0.003267546,0.000740592,0.0002860733,0.00430229,0.001930399,0.002682286,0.00195483,0.02549278,0.4859549],"study_design_scores_gemma":[0.000437258,0.002937004,0.9449599,0.0008667143,0.0002533217,0.0009602834,0.002784107,0.007819075,0.00399084,0.002006987,0.03271957,0.0002648388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753631,0.001909784,0.07037346,0.002683645,0.0004034126,0.006625741,0.01217877,0.001740054,0.02872207],"genre_scores_gemma":[0.9050359,0.0008151624,0.07736742,0.00129447,0.0002462118,0.007051171,0.004127248,0.0001447482,0.0039178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02699481,"threshold_uncertainty_score":0.1427639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968667573889985,"score_gpt":0.2987096558030893,"score_spread":0.2690229800641895,"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."}}