{"id":"W6891341694","doi":"10.3886/e130402","title":"Data and Code for: Hurricane Maria and La Crisis Boricua on Healthcare Supply in Puerto Rico","year":2021,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Health care; Population; Per capita; Legislation; Mainland; Population health; Per capita income","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":[0.0005350097,0.0006585901,0.0004258306,0.002672035,0.0009219064,0.0008424271,0.001226557,0.0005708289,0.1334044],"category_scores_gemma":[0.007557348,0.0003766943,0.0003282255,0.006409178,0.0001910475,0.0006626879,0.001531192,0.0006706745,0.03935271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491586,"about_ca_system_score_gemma":0.002805123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1994188,"about_ca_topic_score_gemma":0.1505315,"domain_scores_codex":[0.9993342,0.00009003811,0.0001118008,0.0001029237,0.000221384,0.0001398002],"domain_scores_gemma":[0.9948073,0.0007317717,0.001354407,0.0004937738,0.002275218,0.0003374854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005240933,0.00003854547,0.01715561,0.0003949582,0.00001401953,0.00008475188,0.0002864302,0.0001547356,0.0001452619,0.0004850787,0.972312,0.008876261],"study_design_scores_gemma":[0.0001583074,0.00003688071,0.3037615,0.0006395841,0.00002522909,0.0001161855,0.002444271,0.0003505347,0.0003814796,0.0004634106,0.6915835,0.00003922193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003512127,0.00005311446,0.00007318933,0.0004408808,0.00005091995,0.0001701935,0.9866132,0.0001401827,0.008946178],"genre_scores_gemma":[0.01797703,0.0003266412,0.0007577092,0.0005526474,0.0000881528,0.002467425,0.9550719,0.0002236326,0.02253485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1994188,"threshold_uncertainty_score":0.4462821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08840337716215674,"score_gpt":0.3732039016272349,"score_spread":0.2848005244650782,"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."}}