{"id":"W4283586530","doi":"10.1098/rstb.2021.0382","title":"Modelling coupled human–environment complexity for the future of the biosphere: strengths, gaps and promising directions","year":2022,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Biosphere; Computer science; Biochemical engineering; Environmental resource management; Environmental science; Engineering; Biology; Ecology","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001014692,0.0002812256,0.0006217378,0.000007877944,0.003331011,0.00003349911,0.001459676,0.0002286005,0.000507971],"category_scores_gemma":[0.0000223752,0.0001104335,0.001189843,0.0005126709,0.004249027,0.00003952879,0.0003007046,0.0005898835,8.18243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497171,"about_ca_system_score_gemma":0.00003740383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634818,"about_ca_topic_score_gemma":0.00002676179,"domain_scores_codex":[0.9977707,0.0002842325,0.0005791375,0.0005536913,0.000513621,0.0002986228],"domain_scores_gemma":[0.9981945,0.0008611345,0.0004719814,0.00039966,0.000007739163,0.00006501896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003148329,0.001682924,0.0006882742,0.003859864,0.0007383458,3.342803e-7,0.0006750952,0.6343628,0.00009343632,0.01456997,0.00007666078,0.3432208],"study_design_scores_gemma":[0.0004057611,0.0005802578,0.0003444068,0.001289242,0.001188384,0.00001685621,0.0007023071,0.6478614,0.00001067149,0.03883763,0.307896,0.000867117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003118507,0.9811105,0.007783924,0.003510707,0.0006458084,0.003025694,0.0004257463,0.000032548,0.000346531],"genre_scores_gemma":[0.1090392,0.8894944,0.001078742,0.00003395197,0.00009326543,0.0001863502,0.000003243092,0.00001147923,0.00005935702],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3423537,"threshold_uncertainty_score":0.9984608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08258505921664656,"score_gpt":0.2946599894770375,"score_spread":0.212074930260391,"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."}}