{"id":"W4309540748","doi":"10.1101/2022.11.16.22282404","title":"Effect of energy shortages on institutional delivery in India","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economic shortage; Business; Health care; Service delivery framework; Multinomial logistic regression; Work (physics); Environmental health; Economic growth; Service (business); Medicine; Economics; Government (linguistics); Marketing; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005377841,0.0002249759,0.0002678894,0.0001055983,0.00006370648,0.000006843717,0.0004003605,0.0001574729,0.004995758],"category_scores_gemma":[0.00004861268,0.0002024197,0.000100638,0.0001340933,0.0001885518,0.0000595249,0.001022926,0.0004305235,0.00005161936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003323512,"about_ca_system_score_gemma":0.00001799344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005361667,"about_ca_topic_score_gemma":0.00006729734,"domain_scores_codex":[0.9983658,0.0002667274,0.0002425549,0.0004004779,0.0004993427,0.0002250514],"domain_scores_gemma":[0.9992887,0.0001476995,0.0001106032,0.0003769982,6.982289e-7,0.00007526088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007830561,0.0001178859,0.521942,0.00002788353,0.00001542911,0.00008650862,0.0000471139,0.4729011,0.0009963828,0.0003036864,0.000136609,0.003347158],"study_design_scores_gemma":[0.0002618422,0.0002952722,0.9804881,0.00005292692,0.00001521599,0.000002281574,0.00000338188,0.0001328159,0.01197531,0.000187911,0.00636127,0.0002237415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694446,0.00008701243,0.00001206944,0.00002810778,0.0003010996,0.00009337153,0.00002169459,0.00001592663,0.02999611],"genre_scores_gemma":[0.9989976,0.0002502004,0.00003417923,0.0001459583,0.00002840468,0.00007568867,0.00008149231,0.00001509437,0.0003714407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4727683,"threshold_uncertainty_score":0.9959138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00780189007702877,"score_gpt":0.2249076361232741,"score_spread":0.2171057460462453,"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."}}