{"id":"W7054630875","doi":"","title":"Advanced Spatial Analysis Training Program for Population ScientistsâNICHD Proposal","year":2008,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; University at Buffalo; National Institute of Child Health and Human Development; University of California, Santa Barbara; National University of Ireland; National University of Ireland, Maynooth; University of Leicester; Pennsylvania State University; McMaster University; State University of New York","keywords":"Population; Training (meteorology); Spatial analysis; Focus (optics); State (computer science); Spatial epidemiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01648726,0.0006728586,0.0005874112,0.002393187,0.00361806,0.004160572,0.003003075,0.002635872,0.1444439],"category_scores_gemma":[0.02040893,0.0006926572,0.0006824248,0.00130784,0.001089373,0.002528267,0.00835047,0.004695773,0.07383604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003399655,"about_ca_system_score_gemma":0.03276054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003996926,"about_ca_topic_score_gemma":0.007612139,"domain_scores_codex":[0.9934559,0.001712527,0.0002046339,0.0006166222,0.002400594,0.001609697],"domain_scores_gemma":[0.9679271,0.002929729,0.0005699506,0.002228131,0.01339306,0.01295196],"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":[0.00006924919,0.000626898,0.001600404,0.00008444734,0.000003906001,0.0001472786,0.000646378,0.0003380817,0.00048045,0.01578835,0.8527046,0.1275099],"study_design_scores_gemma":[0.00004718704,0.0001403089,0.00301574,0.0001615744,0.000004049467,0.0001409026,0.0007616776,0.0006835227,0.0003465904,0.005488094,0.9891967,0.00001362213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"protocol","genre_scores_codex":[0.01778416,0.001030005,0.06301254,0.2374945,0.02672397,0.01410952,0.01071888,0.004355703,0.6247707],"genre_scores_gemma":[0.03727775,0.001486823,0.064394,0.04050397,0.004514343,0.01266645,0.007689627,0.000741126,0.8307259],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1444439,"threshold_uncertainty_score":0.4832131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821754628099859,"score_gpt":0.2633110062448673,"score_spread":0.2450934599638687,"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."}}