{"id":"W7096679170","doi":"","title":"Fraser Forum Particulates, Energy Consumption, &amp;amp; Affluence","year":2014,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mains electricity; Coal; Electricity; Energy supply; Population; Air quality index; Power (physics); Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003489742,0.0004390393,0.0001977666,0.00122286,0.003119117,0.001917371,0.0004204584,0.001751414,0.1810385],"category_scores_gemma":[0.001347726,0.0001641423,0.0001922198,0.00125644,0.0008575941,0.0009550601,0.0008684199,0.001160244,0.02564831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005259605,"about_ca_system_score_gemma":0.004172191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5158496,"about_ca_topic_score_gemma":0.74968,"domain_scores_codex":[0.9996336,0.00002042949,0.000008261987,0.00003232805,0.0002244881,0.00008092792],"domain_scores_gemma":[0.9992625,0.00005824367,0.00005472807,0.00002997152,0.000324587,0.0002699851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00000882649,0.000005336984,0.001166712,0.00002767467,0.00000185011,0.00002949738,0.0001177947,0.000006799015,0.0000380575,0.001471905,0.9721941,0.02493143],"study_design_scores_gemma":[0.000002055072,0.000002971274,0.005122788,0.00006019488,0.00000124262,0.00002442059,0.0001635642,0.00000654109,0.00002900955,0.0001315261,0.9944527,0.000002939661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005345353,0.03769862,0.0001759736,0.2404903,0.019205,0.00004348054,0.01526056,0.0002905998,0.68149],"genre_scores_gemma":[0.03191314,0.02211316,0.00024344,0.0116404,0.006847554,0.00003331674,0.003064467,0.00009475537,0.9240498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5158496,"threshold_uncertainty_score":0.9740033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510335609274451,"score_gpt":0.2770956853808124,"score_spread":0.2519923292880679,"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."}}