{"id":"W7062185624","doi":"","title":"Sara Seck: Corporate Climate Responsibility","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Climate change; Climate justice; Work (physics); Amnesty","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001491045,0.000209122,0.0002291501,0.00003570362,0.0001030718,0.0000655757,0.0002758234,0.0001383315,0.0002484751],"category_scores_gemma":[0.0001980825,0.0002199043,0.00006046821,0.0003206653,0.00009094692,0.0003145126,0.0001113481,0.0003780822,0.0009502954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007374357,"about_ca_system_score_gemma":0.00002904786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007318398,"about_ca_topic_score_gemma":0.00004817778,"domain_scores_codex":[0.9988028,0.00003874884,0.0003120672,0.0003266701,0.0001636665,0.0003560875],"domain_scores_gemma":[0.9991598,0.00004411278,0.00006596888,0.0004997341,0.00005158518,0.0001788297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005105232,0.00008854909,0.01002747,0.0005969259,0.0001813251,0.0002213933,0.0006006635,0.1920708,0.5171219,0.2196309,0.04989291,0.009056581],"study_design_scores_gemma":[0.001314721,0.0002392566,0.003755137,0.00005030786,0.00003190446,0.00001388081,0.0002798358,0.03130032,0.6304708,0.01232122,0.3189573,0.001265365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481572,0.001547021,0.02632784,0.001528814,0.0008855383,0.0005788848,0.0001805379,0.00839254,0.01240161],"genre_scores_gemma":[0.9855248,0.0001096839,0.01307159,0.0009434719,0.0001372856,0.00002899096,0.00002444451,0.00005112104,0.0001085923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2690644,"threshold_uncertainty_score":0.9998276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624665165832077,"score_gpt":0.2411674736608425,"score_spread":0.2149208220025217,"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."}}