{"id":"W2737732247","doi":"","title":"A Patient Assignment Algorithm for Home Care Services","year":2006,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Workload; Tabu search; Integer programming; Linear programming; Computer science; Mathematical optimization; Integer (computer science); Extension (predicate logic); Work (physics); Balance (ability); Algorithm; Measure (data warehouse); Operations research; Nursing; Mathematics; Medicine; Engineering; Data mining; Programming language","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":[0.0008564215,0.0007929198,0.0009435207,0.000871017,0.0008338228,0.001098839,0.001440021,0.001256348,0.01322037],"category_scores_gemma":[0.001755298,0.0004233293,0.0005605614,0.001681373,0.0003195309,0.0008609585,0.0008633178,0.0008718511,0.001748176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221427,"about_ca_system_score_gemma":0.00238782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315765,"about_ca_topic_score_gemma":0.005819413,"domain_scores_codex":[0.999463,0.0001774907,0.00002693976,0.0001308375,0.0001087096,0.00009308939],"domain_scores_gemma":[0.9995459,0.0001973584,0.0000609969,0.00002746405,0.0001014253,0.00006681678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003193783,0.0003959881,0.001250291,0.0001868991,0.00006324623,0.00009854404,0.0001309691,0.560868,0.001990426,0.0125152,0.01491263,0.4072684],"study_design_scores_gemma":[0.00008960257,0.00007597614,0.0002491235,0.00001016292,0.00001376399,0.00006297466,0.00003657462,0.9865012,0.0005911849,0.008517388,0.003843449,0.000008654264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02251134,0.0002306108,0.9694122,0.0005123948,0.00009115854,0.0003411097,0.0004141454,0.001620202,0.004866831],"genre_scores_gemma":[0.1593126,0.00022024,0.8306174,0.0002182249,0.00006704742,0.0005128742,0.0008936255,0.0001853641,0.00797266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01322037,"threshold_uncertainty_score":0.04422653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024137755531061,"score_gpt":0.2838816632355293,"score_spread":0.2636402856802186,"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."}}