{"id":"W4394297933","doi":"10.6084/m9.figshare.20356497","title":"Additional file 3 of Geospatial analysis of cesarean section in Iran (2016–2020): exploring clustered patterns and measuring spatial interactions of available health services","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geospatial analysis; Section (typography); Geography; Data science; Spatial analysis; Cartography; Database; Data mining; Computer science; Remote sensing; Operating system","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":[0.000574327,0.0009255035,0.0007093313,0.002447629,0.0004575084,0.001050453,0.001544628,0.0007986386,0.1428905],"category_scores_gemma":[0.00405438,0.0003439111,0.0009353728,0.004605533,0.0001954448,0.0007361395,0.001028902,0.0007168216,0.02793884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109805,"about_ca_system_score_gemma":0.00174514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06566536,"about_ca_topic_score_gemma":0.09396724,"domain_scores_codex":[0.9996593,0.0000446317,0.00005948455,0.00009084283,0.00006626995,0.00007946426],"domain_scores_gemma":[0.9985966,0.0004308705,0.0002288971,0.0001642085,0.0004563816,0.0001229652],"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":[0.00008583163,0.00004608542,0.01035648,0.0007092722,0.00006084477,0.00005019623,0.00005580927,0.000580471,0.00007398253,0.0004044642,0.984428,0.003148532],"study_design_scores_gemma":[0.001175731,0.00008983555,0.1396094,0.00119004,0.0002212667,0.0002644095,0.001203455,0.003098777,0.000706453,0.002541376,0.8497775,0.0001217849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002055858,0.000008206383,0.00001876571,0.00002634531,0.000006010616,0.000006611936,0.9995403,0.00003552972,0.0001526296],"genre_scores_gemma":[0.002466934,0.00002951221,0.0002998813,0.00003728175,0.00001125783,0.0001407617,0.9962711,0.00002707829,0.0007160988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1428905,"threshold_uncertainty_score":0.4780163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1652939406258028,"score_gpt":0.4003174885809775,"score_spread":0.2350235479551747,"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."}}