{"id":"W4390046068","doi":"10.1126/science.adn3245","title":"A landmark environmental law looks ahead","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Conservation, Ecology, Wildlife Education","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Endangered species; Looming; Environmental law; Political science; Environmental ethics; Landmark; Geography; Law; Ecology; Habitat; Biology; Cartography; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00254961,0.0004013265,0.0002821992,0.0006910613,0.006835524,0.008712929,0.000983233,0.01128768,0.02022496],"category_scores_gemma":[0.01059106,0.0003217251,0.0004088043,0.0006963952,0.006105317,0.008414211,0.003755248,0.01353673,0.004711623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005313228,"about_ca_system_score_gemma":0.01391502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0295645,"about_ca_topic_score_gemma":0.05891157,"domain_scores_codex":[0.9977534,0.0003771106,0.00004338035,0.0003127621,0.0009828631,0.0005305186],"domain_scores_gemma":[0.9974286,0.001005464,0.0001261277,0.0001553795,0.0007079557,0.0005764053],"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":[0.000007777478,0.00001915279,0.0001242435,0.00001892926,0.000001685646,0.00006403686,0.0002915303,0.00004895654,0.0001076889,0.2956347,0.687587,0.01609429],"study_design_scores_gemma":[0.000002289092,0.000003729002,0.0001168639,0.00004801726,8.570662e-7,0.00001189497,0.0002596155,0.00002198043,0.00006390404,0.01827902,0.9811866,0.000005192179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001651008,0.009813239,0.001382462,0.7641433,0.01660531,0.00001497431,0.0001366891,0.0001259852,0.206127],"genre_scores_gemma":[0.05681449,0.008467861,0.002085437,0.4616241,0.006274047,0.0000647976,0.0002323013,0.0001739253,0.464263],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.0295645,"threshold_uncertainty_score":0.0676592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296417357911478,"score_gpt":0.2480741783621827,"score_spread":0.235110004783068,"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."}}