{"id":"W3171966802","doi":"10.2139/ssrn.3845758","title":"Two-Stage Robust Telemedicine Assignment Problem with Uncertain Service Duration and No-Show Behaviours","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Duration (music); Stage (stratigraphy); Telemedicine; Service (business); Computer science; Operations management; Operations research; Mathematics; Business; Engineering; Political science; Health care; Art; Law; Marketing; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002486653,0.0001761519,0.000232909,0.00008413004,0.001361672,0.00004937621,0.00008621981,0.0001331224,0.000203946],"category_scores_gemma":[0.0001019812,0.0001352602,0.00002401821,0.0003560527,0.00002437389,0.0002562469,0.00003398405,0.002350788,0.00002027333],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221456,"about_ca_system_score_gemma":0.007948559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007818306,"about_ca_topic_score_gemma":0.02828979,"domain_scores_codex":[0.9966523,0.0005590068,0.0006288391,0.0002818003,0.0003604778,0.001517551],"domain_scores_gemma":[0.9982042,0.00009216373,0.0003070376,0.0001858017,0.001014313,0.0001965334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0012736,0.00118367,0.4079335,0.001147451,0.0009272909,0.0002844631,0.01853548,0.1451937,0.007474628,0.3788698,0.002333888,0.03484259],"study_design_scores_gemma":[0.07130689,0.01521449,0.0327327,0.00848341,0.001901644,0.008089271,0.4923919,0.2892765,0.001067001,0.02987308,0.04365003,0.006013065],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7314669,0.001885439,0.2100685,0.04960493,0.0005700513,0.001728176,0.00002752937,0.0001252242,0.004523184],"genre_scores_gemma":[0.9510626,0.003781652,0.02707645,0.002798091,0.0009363564,0.00009132268,0.0002834565,0.00007914468,0.01389094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4738564,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617358398732772,"score_gpt":0.3561156281450811,"score_spread":0.3199420441577534,"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."}}