{"id":"W4213047783","doi":"10.1163/9789004322714_cclc_2018-0194-010","title":"Carbon and Greenhouse Gas Legislation in Saskatchewan","year":2019,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Greenhouse gas; Carbon fibers; Environmental science; Business; Political science; Law; Computer science; Geology; Algorithm","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":[0.00103814,0.001501144,0.001121307,0.006092746,0.001005667,0.002470029,0.002016461,0.001655614,0.03785635],"category_scores_gemma":[0.007140578,0.0009993121,0.001361593,0.02211709,0.0004561861,0.000978481,0.001418436,0.001934893,0.02927055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01032475,"about_ca_system_score_gemma":0.02621202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8059878,"about_ca_topic_score_gemma":0.8661764,"domain_scores_codex":[0.9987733,0.0001290896,0.0001808296,0.0002420947,0.0003525996,0.0003220993],"domain_scores_gemma":[0.9940429,0.00123562,0.000539555,0.0009239467,0.002749994,0.0005079382],"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":[0.0000908118,0.00004201472,0.007886621,0.0005103215,0.0001242842,0.00004470866,0.00005872002,0.001630786,0.00009792575,0.001168763,0.984588,0.003757085],"study_design_scores_gemma":[0.0002656138,0.00001595118,0.07582489,0.0007800477,0.0001106808,0.00003846865,0.0004507175,0.001603755,0.0007659768,0.001641572,0.918421,0.00008139691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003876903,0.00003127722,0.00001756348,0.00005315445,0.000007732609,0.000005623554,0.9986527,0.00004325648,0.0008009081],"genre_scores_gemma":[0.001542902,0.0001125463,0.0001032741,0.00006538698,0.000002726534,0.00005905565,0.9961164,0.00002886912,0.001968749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1940122,"threshold_uncertainty_score":0.3903096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923392122925131,"score_gpt":0.2441863603141365,"score_spread":0.2149524390848852,"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."}}