{"id":"W4392117780","doi":"10.15173/m.v1i32.1675","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"The Meducator","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Table (database); Population health; Medicine; Environmental health; Computer science; Population; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007080947,0.0007991738,0.001075689,0.004888455,0.001819109,0.005290066,0.001416016,0.001165182,0.8454339],"category_scores_gemma":[0.007142248,0.0003010448,0.000651606,0.003870746,0.0004319425,0.002624389,0.002468425,0.001362296,0.7854252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863045,"about_ca_system_score_gemma":0.002463351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003339249,"about_ca_topic_score_gemma":0.005850213,"domain_scores_codex":[0.9993369,0.0001075542,0.00003667005,0.0001126294,0.0003399639,0.00006615122],"domain_scores_gemma":[0.9970227,0.0005060165,0.0001252788,0.0003745785,0.001470228,0.0005012196],"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":[0.00001583066,0.00002487004,0.0001693225,0.0001271326,0.000002479283,0.00001233182,0.00001240398,0.0000390045,0.00007532115,0.002130614,0.9528391,0.04455157],"study_design_scores_gemma":[0.000003937896,0.000008779552,0.0003428643,0.0001218598,0.000002275691,0.00002445306,0.00002859125,0.00003430748,0.00007242102,0.001128303,0.9982281,0.000004175394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004567108,0.003348852,0.001198644,0.003044733,0.01212574,0.0002845919,0.0310677,0.00191419,0.946559],"genre_scores_gemma":[0.002778105,0.00207674,0.001150297,0.002195608,0.003132007,0.000195128,0.02053757,0.001223103,0.9667114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1545661,"threshold_uncertainty_score":0.2204698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06635253045536589,"score_gpt":0.2285610575536207,"score_spread":0.1622085270982548,"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."}}