{"id":"W7038494455","doi":"","title":"Improving Outpatient Psychiatric Appointment Attendance","year":2020,"lang":"en","type":"article","venue":"Arizona State University Library Digital Repository (Arizona State University)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; Mental health; Chart; Quality (philosophy); Revenue; Health care; Mental illness","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":[0.003753072,0.0001594962,0.0003072339,0.001609442,0.0004717898,0.001081432,0.0009484596,0.0004835927,0.01771381],"category_scores_gemma":[0.02246942,0.0001438108,0.0006058441,0.001226434,0.000146417,0.000638292,0.0008605057,0.0006168734,0.001467768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055184,"about_ca_system_score_gemma":0.004150028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009708009,"about_ca_topic_score_gemma":0.02069879,"domain_scores_codex":[0.9976236,0.001040229,0.0002943944,0.0001836973,0.0006410253,0.0002170684],"domain_scores_gemma":[0.9906893,0.003810361,0.002811992,0.0004503865,0.001363052,0.000874896],"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":[0.000683526,0.002279549,0.101166,0.005495606,0.0002501793,0.0001042433,0.0007235379,0.0007817798,0.0007380875,0.0007323723,0.05123062,0.8358146],"study_design_scores_gemma":[0.0009337281,0.003794796,0.9240745,0.007678758,0.0008230453,0.0003778331,0.00190387,0.001956482,0.001964156,0.0007380922,0.05570456,0.00005016641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7831762,0.02588593,0.006575736,0.04445058,0.001348305,0.003252768,0.01159434,0.001673958,0.1220421],"genre_scores_gemma":[0.9695273,0.00816602,0.01195235,0.002592569,0.0005031911,0.0005940592,0.001922897,0.00004562802,0.004695997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771381,"threshold_uncertainty_score":0.05925864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734340142994883,"score_gpt":0.2281479432596407,"score_spread":0.2108045418296919,"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."}}