{"id":"W2427277061","doi":"10.48550/arxiv.1606.05363","title":"Predicting Ambulance Demand: Challenges and Methods","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054133,0.0003445378,0.0004164551,0.0002033784,0.0001217679,0.00002039502,0.0004571548,0.000775586,0.000227159],"category_scores_gemma":[0.00005265322,0.0003342167,0.000136859,0.0001210948,0.000187789,0.00009076297,0.0006292106,0.0007442688,0.000129523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006887725,"about_ca_system_score_gemma":0.00003039339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006481865,"about_ca_topic_score_gemma":0.00002916707,"domain_scores_codex":[0.9976157,0.0005488925,0.0002079577,0.001153338,0.00004841336,0.0004256866],"domain_scores_gemma":[0.9981913,0.0004473786,0.0002554453,0.0008553832,0.00006915579,0.0001813602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005631412,0.0003450282,0.09972874,0.0001788961,0.003200219,0.001305058,0.008246209,0.00208492,0.00007736161,0.601645,0.001148681,0.2814768],"study_design_scores_gemma":[0.02504203,0.001489832,0.3289808,0.01320994,0.006610066,0.0001912452,0.01466212,0.01987098,0.0009361663,0.5607215,0.01656948,0.01171587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7313021,0.01966356,0.09046967,0.000470575,0.003268959,0.0006168748,0.00004162403,0.0005821936,0.1535844],"genre_scores_gemma":[0.9926789,0.004658516,0.0007078068,0.00005723752,0.0002398224,0.000002895498,0.000006592667,0.00004198548,0.001606247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2697609,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139120191859747,"score_gpt":0.270868045357591,"score_spread":0.1569560261716164,"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."}}