{"id":"W7064404411","doi":"","title":"Boosting Canadian Corporate Culpability for Human Rights Abuse","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Culpability; Human rights; Liability; Indigenous; Supreme court; Boosting (machine learning)","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":[0.002149032,0.0003802296,0.0002046331,0.002680337,0.02099768,0.008199966,0.001167162,0.002999124,0.02628434],"category_scores_gemma":[0.008825029,0.0003041797,0.0003151306,0.002436916,0.005137778,0.00208511,0.004059765,0.003514259,0.001768693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06620405,"about_ca_system_score_gemma":0.1197344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825854,"about_ca_topic_score_gemma":0.9918829,"domain_scores_codex":[0.9949918,0.0003120821,0.00004287809,0.0003289482,0.002465951,0.001858399],"domain_scores_gemma":[0.9932021,0.0008370525,0.0002158106,0.0003358495,0.003944704,0.001464389],"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":[0.00004698475,0.00007522728,0.01306917,0.0001216439,0.00001678472,0.00120226,0.01841257,0.0003830624,0.001445819,0.2481555,0.5951587,0.1219123],"study_design_scores_gemma":[0.00001089951,0.00001645636,0.01323086,0.0001091966,0.00001955997,0.0002080545,0.01131259,0.0002878602,0.0008095952,0.005100812,0.9688511,0.00004291753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.057364,0.002819149,0.0007600133,0.08303953,0.0005122712,0.00006030935,0.0003325868,0.0001320642,0.8549801],"genre_scores_gemma":[0.5858248,0.004510249,0.001312805,0.02561496,0.0001675046,0.00004012778,0.0003275951,0.0001076221,0.3820943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06620405,"threshold_uncertainty_score":0.4803463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098209597064776,"score_gpt":0.1783441563313273,"score_spread":0.1673620603606795,"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."}}