{"id":"W2907596972","doi":"10.1073/pnas.1802883116","title":"Assessing ecological infrastructure investments","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Alberta","funders":"National Science Foundation","keywords":"Business; Critical infrastructure; Environmental resource management; Ecology; Environmental planning; Environmental science; Computer science; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002731929,0.0006014967,0.0002852127,0.002108885,0.0003550581,0.001606386,0.0006844423,0.0007379108,0.004605725],"category_scores_gemma":[0.0115184,0.0002053125,0.0003903757,0.001897921,0.0003166032,0.00331423,0.0009691927,0.0008252867,0.0005078928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003490456,"about_ca_system_score_gemma":0.001703196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117846,"about_ca_topic_score_gemma":0.01731348,"domain_scores_codex":[0.9986154,0.0004048161,0.00006503271,0.0001496746,0.0006223585,0.0001427114],"domain_scores_gemma":[0.9939188,0.002649598,0.00101224,0.0003909723,0.001627847,0.0004005135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002878777,0.001072489,0.4391204,0.0002233246,0.0003483858,0.0002777319,0.000442546,0.3342747,0.00414092,0.0454651,0.008404965,0.1659416],"study_design_scores_gemma":[0.00004735156,0.001161093,0.3221956,0.00007875098,0.0001208686,0.0001281228,0.001350762,0.6162296,0.006327185,0.03304122,0.0192177,0.0001017699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266843,0.0002303106,0.02144018,0.0004911393,0.00002343527,0.0003181222,0.003780965,0.0001033294,0.04692831],"genre_scores_gemma":[0.985296,0.0002020437,0.009937906,0.00004169602,0.00001142825,0.0001085518,0.001706404,0.00001557811,0.002680471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117846,"threshold_uncertainty_score":0.02532518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624197589877088,"score_gpt":0.2830061973626923,"score_spread":0.2567642214639215,"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."}}