{"id":"W4396791247","doi":"10.1016/j.ecoser.2024.101624","title":"Rethinking ecosystem services from the anthropocene to the Ecozoic: Nature’s benefits to the biotic community","year":2024,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; McGill University","funders":"National Institute of Food and Agriculture; University of Vermont; McGill University; U.S. Department of Agriculture","keywords":"Ecosystem services; Flourishing; Anthropocentrism; Anthropocene; Value (mathematics); Environmental ethics; Business; Sociology; Environmental resource management; Economics; Ecology; Ecosystem; Biology; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00319118,0.0006374397,0.0005547374,0.00007696918,0.002910772,0.001725346,0.005171584,0.000347751,0.001031809],"category_scores_gemma":[0.00001505365,0.0002889829,0.0002413021,0.001399805,0.00001972058,0.0007242364,0.002109766,0.001166952,0.01286434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138871,"about_ca_system_score_gemma":0.00003160719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02273476,"about_ca_topic_score_gemma":0.6638795,"domain_scores_codex":[0.9951032,0.001160249,0.0008502594,0.0009207889,0.001060294,0.0009051399],"domain_scores_gemma":[0.9957286,0.001136869,0.0002535481,0.002519783,0.00005469019,0.0003065091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005200821,0.0008813415,0.3494583,0.01734142,0.003619594,0.0002546975,0.3801897,0.1655578,0.001430368,0.002245794,0.04437618,0.03412472],"study_design_scores_gemma":[0.0004988347,0.0003173834,0.1211185,0.007781934,0.0004984415,0.0001274325,0.02091615,0.07787559,0.001731625,0.001222763,0.7662756,0.001635654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608923,0.005782764,0.00001212098,0.02437804,0.003919166,0.0016353,0.0009282455,0.0003899533,0.002062154],"genre_scores_gemma":[0.9893993,0.0001665845,0.00006245314,0.008653577,0.001306298,0.000173804,0.0001018855,0.0000922451,0.0000438872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7218995,"threshold_uncertainty_score":0.9999563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200610424133197,"score_gpt":0.2296688458128036,"score_spread":0.2176627415714716,"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."}}