{"id":"W4206910269","doi":"10.32920/16866853.v1","title":"Into the Syn-anthropocene: The Resynchronized Architecture of a Keystone Species","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Anthropocene; Creatures; Architecture; Humanity; Keystone species; Environmental ethics; Paradigm shift; Ecology; Wildlife; Biodiversity; Geography; Sociology; Ecosystem; Biology; Natural (archaeology); Epistemology; Political science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993306,0.0002932823,0.0003574956,0.00006803864,0.0001307112,0.00007283392,0.000667095,0.0001548778,0.0004239121],"category_scores_gemma":[0.00004849116,0.0001513635,0.000247011,0.000195873,0.0002793169,0.00001532022,0.0004716073,0.0009040175,0.000009114032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005230185,"about_ca_system_score_gemma":0.0001332057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001495631,"about_ca_topic_score_gemma":0.0001761755,"domain_scores_codex":[0.9986852,0.0001388635,0.0003429197,0.0002531779,0.0003795239,0.0002003331],"domain_scores_gemma":[0.9986491,0.0004376484,0.00007006424,0.0007163719,0.00009134771,0.00003545712],"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":[0.00001636188,0.00001829649,0.00001564791,0.0003270596,0.0004389797,0.00001279031,0.007412419,0.9648969,0.001415483,0.002162085,0.003310655,0.01997338],"study_design_scores_gemma":[0.002479743,0.0003491294,0.02926196,0.002932604,0.001425499,0.0003952946,0.01191634,0.41294,0.1430669,0.3038288,0.08672924,0.004674498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1049681,0.01265469,0.843466,0.005290502,0.001229572,0.0008072663,0.00001971804,0.0003723693,0.03119174],"genre_scores_gemma":[0.9895899,0.0003717549,0.008911815,0.0001712292,0.00033547,0.00005562922,0.00004020434,0.00004617827,0.0004778459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8846217,"threshold_uncertainty_score":0.6172426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008768944659731808,"score_gpt":0.2149116968918049,"score_spread":0.2061427522320731,"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."}}