{"id":"W6922913733","doi":"10.1371/journal.pmed.1002623.t003","title":"Top 15 life cycle emissions by mass (excluding carbon dioxide) from 2015 Canadian healthcare expenditures.","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon fibers; Health care; Life-cycle assessment; Carbon footprint; Carbon cycle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004923878,0.0003165396,0.0002765828,0.0001790197,0.0002018637,0.0002139167,0.001596961,0.0003658614,0.01386853],"category_scores_gemma":[0.0004865144,0.0003360015,0.00007346817,0.000170567,0.000004927946,0.0001825606,0.0002766395,0.000483347,0.0005479039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604771,"about_ca_system_score_gemma":0.001458114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0839517,"about_ca_topic_score_gemma":0.02162925,"domain_scores_codex":[0.9981548,0.0000327229,0.0002689501,0.0006007014,0.0003833268,0.0005594641],"domain_scores_gemma":[0.9975175,0.0001295434,0.0001289723,0.0009883747,0.000112122,0.001123503],"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":[2.30446e-7,0.000006191981,0.000001594751,0.00006672446,0.00001681772,0.00001531542,0.00003671682,0.0001243475,0.000004416819,0.000007058492,0.9996865,0.00003404632],"study_design_scores_gemma":[0.00004953473,0.00001179363,0.00004858641,0.001126423,0.000005346295,0.000002105414,0.00001194207,0.002217073,0.00002643847,0.00006040976,0.9960675,0.0003728298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001595993,0.002235791,0.00002497558,0.002229099,0.001108319,0.0001427298,0.99407,0.00006461633,0.0001228964],"genre_scores_gemma":[0.0001885548,0.00002724486,0.0006251848,0.001111089,0.001141997,0.00009170356,0.9966888,0.00002678272,0.00009859136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06232245,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410537266544212,"score_gpt":0.2835024592710119,"score_spread":0.2493970866055698,"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."}}