{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166665,0.0001123188,0.000106328,0.00001271108,0.0008664521,0.00004899142,0.0001333381,0.00007446462,0.0004510471],"category_scores_gemma":[0.00002099084,0.0001148609,0.00001865622,0.00009990262,0.001348337,0.0005209876,0.0003797029,0.0001272989,0.0001511762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008826814,"about_ca_system_score_gemma":0.000007143734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300677,"about_ca_topic_score_gemma":0.0004504594,"domain_scores_codex":[0.9990135,0.00005052596,0.0001128908,0.0004113203,0.0001203817,0.0002913393],"domain_scores_gemma":[0.999774,0.00003004388,0.00005186154,0.00008178753,0.000002425333,0.00005989016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000592867,0.0000395433,0.9652648,0.00001025841,0.000006703448,0.00001664249,0.001280634,0.00002139803,0.02984234,0.001116854,0.001984268,0.0004106048],"study_design_scores_gemma":[0.0001478449,0.00003882285,0.9880962,0.000003333927,0.00001466348,0.00003918443,0.001181476,0.00002555166,0.008170496,0.001415628,0.0007084119,0.0001584035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985588,0.00001683158,0.0001336803,0.0008523599,0.0001230129,0.00006368982,0.00002067668,0.00001208331,0.0002188894],"genre_scores_gemma":[0.9963015,0.00004746831,0.001963739,0.0001635752,0.00002662422,0.000002892721,0.000003665552,0.000001996201,0.001488583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283136,"threshold_uncertainty_score":0.6664137,"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."}}