{"id":"W1989426878","doi":"10.1080/13549839.2011.613235","title":"Sustainable communities, an introduction","year":2011,"lang":"en","type":"article","venue":"Local Environment","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Selection (genetic algorithm); Political science; Sustainable community; Sustainable development; Environmental ethics; Geography; Sociology; Computer science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002749461,0.00004937271,0.00005259465,0.00001231539,0.0003246419,0.00001352407,0.0001383692,0.00004157419,0.001237306],"category_scores_gemma":[0.000005323129,0.00005027883,0.00001483695,0.00003236613,0.0003083411,0.0001743525,0.00002900381,0.00008506838,0.00008552578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754852,"about_ca_system_score_gemma":0.00001952996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04335171,"about_ca_topic_score_gemma":0.0008341079,"domain_scores_codex":[0.9993513,0.0001078407,0.00006604455,0.0000879713,0.0001682988,0.00021861],"domain_scores_gemma":[0.9996982,0.000009574162,0.00003020212,0.0001826264,0.000004701134,0.0000747181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009677594,0.000773624,0.01091002,0.00001449462,0.00002790878,0.00003974115,0.3403139,0.0007710689,0.00004870941,0.582464,0.03827559,0.02626412],"study_design_scores_gemma":[0.00008497574,0.00009175105,0.007048924,0.000001394722,0.000005429249,5.752649e-7,0.07871512,0.00005510787,0.0001028646,0.001273697,0.9125308,0.00008940225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7915414,0.0004365825,0.01833333,0.003611862,0.0005555531,0.0004308076,0.000008133768,0.0002511457,0.1848312],"genre_scores_gemma":[0.9709451,0.00004421586,0.0003131086,0.0001201157,0.000210724,0.000008513882,0.00000625346,0.000005348465,0.02834663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8742552,"threshold_uncertainty_score":0.9996757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234214240522952,"score_gpt":0.2208767575359394,"score_spread":0.1974553334836442,"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."}}