{"id":"W6965018111","doi":"10.26186/148801","title":"Building Australia's economic, social and environmental growth and resilience through location","year":2021,"lang":"en","type":"article","venue":"Geoscience Australia","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Geospatial analysis; Government (linguistics); Commonwealth; Resilience (materials science); Work (physics); Digital government; Sustainability; Digital economy; Interoperability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650748,0.0003488761,0.0003382081,0.001767835,0.004674687,0.00704422,0.001040162,0.001625119,0.01615574],"category_scores_gemma":[0.007060525,0.0003691285,0.0004103794,0.001128706,0.003949764,0.00925515,0.01905832,0.002160521,0.003374432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004493279,"about_ca_system_score_gemma":0.01661133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05980055,"about_ca_topic_score_gemma":0.1010795,"domain_scores_codex":[0.9984958,0.0004529765,0.00005391573,0.0001702437,0.000412775,0.0004142191],"domain_scores_gemma":[0.9958157,0.0005747018,0.0002827474,0.0005731184,0.0009023936,0.001851224],"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":[0.00006164292,0.0002212844,0.01607997,0.0006359516,0.0001018971,0.001503255,0.06225572,0.002208675,0.004468267,0.3435995,0.1677782,0.4010857],"study_design_scores_gemma":[0.000007860692,0.0001155991,0.01947076,0.0004556291,0.00002904425,0.00031142,0.02036279,0.001976772,0.0005451198,0.0481904,0.9084907,0.00004384158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2178891,0.004398235,0.02926976,0.1558358,0.001369306,0.0002479723,0.0006709347,0.001309281,0.5890096],"genre_scores_gemma":[0.8395799,0.003761119,0.02748864,0.007136696,0.0002112534,0.0001896054,0.0002886404,0.0002647026,0.1210794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05980055,"threshold_uncertainty_score":0.1189049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435503697173102,"score_gpt":0.2714239783826769,"score_spread":0.2370689414109459,"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."}}