{"id":"W2984389533","doi":"10.4103/ijas.ijas_9_19","title":"How to reduce no-show in pain clinic?","year":2019,"lang":"en","type":"article","venue":"Imam Journal of Applied Sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Phone; Attendance; Context (archaeology); Quarter (Canadian coin); Family medicine; Phone call; Patient satisfaction; Health care; Medical emergency; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009514384,0.00008228191,0.0002522386,0.0002690485,0.0003409668,0.00006311081,0.0003054484,0.00009616446,0.000318004],"category_scores_gemma":[0.000754072,0.00006040731,0.000035117,0.0006352506,0.00005170565,0.0002583945,0.00003578037,0.0004756495,0.000377573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009496677,"about_ca_system_score_gemma":0.0008602747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135226,"about_ca_topic_score_gemma":0.00003028513,"domain_scores_codex":[0.9981893,0.000287116,0.0006651136,0.0001846435,0.0003410408,0.0003327579],"domain_scores_gemma":[0.9985397,0.0004967012,0.0003549369,0.0001303685,0.0003149345,0.0001633831],"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":[0.002201346,0.001146897,0.3237486,0.001102285,0.00009324193,0.0000614438,0.07536022,0.1009495,0.0937867,0.08627409,0.1957166,0.1195592],"study_design_scores_gemma":[0.01451789,0.0101597,0.07117606,0.00594139,0.00005521456,0.00004901983,0.2312293,0.08555619,0.003048429,0.01818046,0.5571142,0.002972146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175042,0.0001097599,0.006100426,0.03249447,0.001656265,0.0008916468,0.000002695414,0.00001547525,0.04122504],"genre_scores_gemma":[0.9490421,0.00003807171,0.0462834,0.00286402,0.0003116009,0.00001289664,6.246711e-7,0.000007344082,0.001439912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3613977,"threshold_uncertainty_score":0.4853064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09452515208624519,"score_gpt":0.4406114777470521,"score_spread":0.3460863256608069,"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."}}