{"id":"W7062895942","doi":"","title":"The Urgenda Climate Case and its Consequences","year":2022,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Government (linguistics); Greenhouse gas; Climate change; State (computer science); Download","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":[0.002952287,0.0004127684,0.0003377976,0.001191904,0.00967864,0.007607274,0.001999495,0.01023689,0.04807284],"category_scores_gemma":[0.0109746,0.0004654639,0.0003937037,0.001523513,0.004792214,0.003091819,0.004825298,0.007950395,0.006918032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008281896,"about_ca_system_score_gemma":0.003818408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06586041,"about_ca_topic_score_gemma":0.100885,"domain_scores_codex":[0.9960128,0.0009470619,0.00005338435,0.0003481841,0.001828149,0.0008104073],"domain_scores_gemma":[0.9978772,0.0008778136,0.0001077356,0.0002331085,0.0004617015,0.000442461],"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":[0.0000614876,0.00005336188,0.0007612612,0.00005382438,0.000004279175,0.0009431885,0.0009429654,0.0002926926,0.0001938155,0.2299826,0.7472527,0.01945773],"study_design_scores_gemma":[0.00001740301,0.00001140174,0.001940881,0.00009734838,0.000002518923,0.0001938199,0.001111121,0.0001020919,0.0002373035,0.02159719,0.9746601,0.00002880306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006562953,0.005186628,0.0002771619,0.07416862,0.002085574,0.00001931442,0.000324719,0.00009787639,0.9112772],"genre_scores_gemma":[0.3156542,0.006387794,0.0007175582,0.1193662,0.003161187,0.0001453651,0.0005249826,0.0002738095,0.553769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06586041,"threshold_uncertainty_score":0.1608197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036415760028092,"score_gpt":0.1644927100411411,"score_spread":0.1541285524408602,"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."}}