{"id":"W4384935753","doi":"10.1038/s41558-023-01727-z","title":"Increased transparency is needed for corporate science-based targets to be effective","year":2023,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transparency (behavior); Business; Accounting; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001795779,0.0003394477,0.0006290497,0.001221448,0.0004626974,0.000153886,0.0005241996,0.0003785346,0.0003202172],"category_scores_gemma":[0.0003694237,0.0003943004,0.0002319883,0.001675091,0.0001405628,0.0003811696,0.0001056126,0.0003020479,0.001030024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097156,"about_ca_system_score_gemma":0.00003427372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984048,"about_ca_topic_score_gemma":0.0001973082,"domain_scores_codex":[0.9972941,0.0000148365,0.0005528909,0.0009264218,0.00007611544,0.001135648],"domain_scores_gemma":[0.9984044,0.0002342731,0.0004072723,0.0004946283,0.0001144324,0.0003449755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00391233,0.001551116,0.1403648,0.005143551,0.0004975459,0.0001027485,0.07437293,0.0002492958,0.009784047,0.6097443,0.1391822,0.01509518],"study_design_scores_gemma":[0.01757239,0.002832622,0.2343094,0.0006395811,0.0001892245,0.00001438278,0.004490849,0.0712088,0.06813417,0.1271767,0.4663381,0.007093754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384187,0.001372888,0.0002526108,0.02658905,0.002697431,0.00367973,0.02098235,0.000447566,0.0055597],"genre_scores_gemma":[0.9725149,0.0005712229,0.0005223298,0.02320164,0.000712703,0.001671369,0.0006286975,0.00009536245,0.00008173283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4825676,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1827249168925558,"score_gpt":0.3126756203979918,"score_spread":0.1299507035054361,"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."}}