{"id":"W2807286659","doi":"10.1071/aj17066","title":"An overview of the new Geological and Bioregional Assessments Program","year":2018,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Government (linguistics); Tight gas; Shale gas; Oil shale; Research program; Environmental planning; Sustainable development; Structural basin; Environmental resource management; Environmental science; Business; Engineering; Geology; Hydraulic fracturing; Political science; Petroleum engineering; Waste management","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":[0.0002444935,0.00008254746,0.00007928712,0.000001500789,0.0002427518,0.00002600774,0.0003944482,0.00003568985,0.0008711082],"category_scores_gemma":[0.000004657885,0.00003798309,0.00004412881,0.00008586825,0.0009255716,0.0001087972,0.0002472617,0.0001550934,0.00002507472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179967,"about_ca_system_score_gemma":0.000009877671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005440491,"about_ca_topic_score_gemma":0.00001157686,"domain_scores_codex":[0.9992409,0.00008065034,0.00013733,0.0001059101,0.0002698979,0.0001653365],"domain_scores_gemma":[0.9995819,0.00001174158,0.0001138017,0.0001879196,0.000002372426,0.0001023123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006624605,0.0003986206,0.6938871,0.000003997271,0.00004559433,0.000005100263,0.0005495547,0.0022263,0.00302203,0.001047104,0.00306599,0.2956824],"study_design_scores_gemma":[0.0002454547,0.0004498159,0.9736466,0.00001377478,0.00002414386,0.0002623533,0.0001329212,0.005902417,0.00005820737,0.005888827,0.01329215,0.00008330004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957973,0.0001507609,0.001878574,0.0008949846,0.00008065661,0.0001175154,3.183927e-7,0.000007546645,0.001072329],"genre_scores_gemma":[0.9880355,0.0002359375,0.01073609,0.0005028605,0.0001170208,0.000001487308,2.140942e-7,0.000006118768,0.0003647566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2955991,"threshold_uncertainty_score":0.9538024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377160931588818,"score_gpt":0.3130455143171064,"score_spread":0.2792739050012182,"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."}}