{"id":"W4248643252","doi":"10.23880/oajprs-16000116","title":"Global Asthma Research with Special Reference to India: A Scientometric Assessment of Publication Output during 2007-16","year":2018,"lang":"en","type":"article","venue":"Open Access Journal of Pulmonary & Respiratory Sciences","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asthma; Medicine; Library science; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006434925,0.000825309,0.0009782256,0.06257202,0.001095871,0.006551779,0.0009146489,0.0004981371,0.002615672],"category_scores_gemma":[0.03423883,0.0002585408,0.001959605,0.1720914,0.0008705147,0.002922298,0.003347486,0.0005718308,0.001497802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537838,"about_ca_system_score_gemma":0.00511844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007288605,"about_ca_topic_score_gemma":0.006097585,"domain_scores_codex":[0.9899576,0.001375222,0.002176583,0.000858575,0.004720483,0.000911439],"domain_scores_gemma":[0.9580384,0.01311837,0.01330831,0.00293217,0.01053717,0.002065531],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002880399,0.0001111678,0.8022736,0.004269789,0.001173512,0.000830323,0.005549213,0.002550476,0.0008586165,0.003257894,0.02600489,0.1528325],"study_design_scores_gemma":[0.000008693089,0.00009184986,0.9615628,0.0004733123,0.0002876154,0.0007311141,0.003899394,0.0008617891,0.0005391946,0.000548407,0.03094834,0.00004761124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102921,0.02581615,0.001562654,0.003967212,0.0004825829,0.0002623979,0.1042668,0.0008190447,0.05253113],"genre_scores_gemma":[0.9095587,0.01775098,0.00193005,0.0002532923,0.0006464549,0.0002055802,0.06479476,0.0001758475,0.004684423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9935651,"threshold_uncertainty_score":0.03403157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2220706714061182,"score_gpt":0.5039208769829117,"score_spread":0.2818502055767934,"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."}}