{"id":"W7100012588","doi":"","title":"ECOSYSTEM RECOVERY AFTER EMISS ION REDUCTIONS:","year":2016,"lang":"en","type":"article","venue":"","topic":"Cultural and Sociopolitical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Aquatic ecosystem; Terrestrial ecosystem; Vegetation (pathology); Microclimate; Lichen; Invertebrate; Particulates","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004887967,0.0003182188,0.0001803938,0.000577778,0.001967204,0.000909315,0.0006639691,0.001285802,0.006043439],"category_scores_gemma":[0.00159544,0.00009965301,0.0003990637,0.0005749308,0.0005273507,0.0007174815,0.001589844,0.001426161,0.0009744801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272471,"about_ca_system_score_gemma":0.001053395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006242297,"about_ca_topic_score_gemma":0.01702096,"domain_scores_codex":[0.9995584,0.00006710485,0.00003145123,0.00002957214,0.00005305789,0.0002603829],"domain_scores_gemma":[0.9994807,0.00004615985,0.0001354377,0.00005868284,0.00008975534,0.0001893404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000835888,0.001067954,0.2170187,0.001010219,0.0001928386,0.3262397,0.005655586,0.001324676,0.004596698,0.00653828,0.0345133,0.4010061],"study_design_scores_gemma":[0.00009708614,0.001774298,0.37213,0.001420417,0.0002913891,0.3294924,0.02508428,0.002827594,0.009631372,0.008113968,0.2490163,0.0001209285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8894445,0.01049925,0.002613975,0.02625812,0.001098473,0.0002519339,0.0008756276,0.0003269106,0.06863121],"genre_scores_gemma":[0.9854233,0.002044787,0.0004744416,0.002288248,0.0001602486,0.00003164083,0.0002595256,0.00002175922,0.009296102],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9939566,"threshold_uncertainty_score":0.0202173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057474080800926,"score_gpt":0.2088421491773452,"score_spread":0.1782674083693359,"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."}}