{"id":"W4251534945","doi":"10.1163/9789004322714_cclc_2016-0021-001","title":"Alberta coal phase out campagn heats up","year":2018,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coal; Phase (matter); Environmental science; Thermodynamics; Chemistry; Geography; Archaeology; Physics; Organic chemistry","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":["insufficient_payload"],"category_scores_codex":[0.0002909568,0.0002711734,0.0004874482,0.0003557638,0.0006458113,0.0001449914,0.0001244978,0.0004343087,0.001270493],"category_scores_gemma":[0.00003717911,0.0003037136,0.00008099986,0.0003001392,0.0001252888,0.0002220704,0.0000809577,0.0002257574,0.0009325531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070272,"about_ca_system_score_gemma":0.00001389964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053148,"about_ca_topic_score_gemma":0.01124139,"domain_scores_codex":[0.9985231,0.00001809721,0.0005457603,0.0004904044,0.00003746787,0.0003852134],"domain_scores_gemma":[0.9990733,0.00003912899,0.0004183388,0.000331356,0.00005585451,0.00008203837],"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":[0.00004830457,0.00009398284,0.00002061997,0.0001435063,0.00003368955,0.000001999393,0.0003522719,3.19385e-8,7.660677e-7,0.01206977,0.9871987,0.00003641851],"study_design_scores_gemma":[0.001079796,0.0002929686,0.00002722149,0.00005080199,0.00002184858,0.00001318573,0.00002188505,0.00006165569,0.00002334509,0.001779883,0.9962766,0.0003508658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004973796,0.0006262616,0.000008340002,0.0005104708,0.003543612,0.0004345753,0.9829866,0.00002719442,0.01136553],"genre_scores_gemma":[0.00140193,0.00498463,0.000008954245,0.0032339,0.002767317,0.0002166029,0.9813097,0.0000372171,0.006039775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01028989,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297732422471571,"score_gpt":0.311191848513058,"score_spread":0.181418606265901,"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."}}