{"id":"W2887361706","doi":"10.4225/50/5a821f647335e","title":"Victorian economic snapshot: February 2018","year":2018,"lang":"en","type":"article","venue":"Analysis & Policy Observatory","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Library of Parliament","funders":"","keywords":"Snapshot (computer storage); Geography; History; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004953679,0.0002405598,0.0006122367,0.0009201806,0.0002311957,0.00009629592,0.0005221439,0.0001413055,0.00217386],"category_scores_gemma":[0.0000780984,0.0002727382,0.0004324323,0.001176136,0.0002099101,0.000377805,0.0001123749,0.0001108488,0.007543189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000483724,"about_ca_system_score_gemma":0.0002183861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370696,"about_ca_topic_score_gemma":0.001358527,"domain_scores_codex":[0.9979284,0.00002073325,0.000785527,0.0006636199,0.00007706539,0.0005246738],"domain_scores_gemma":[0.9985732,0.00005086947,0.0003554354,0.0007328116,0.00004678666,0.000240899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001574642,0.00005160877,0.658488,0.000006423748,0.001078939,0.000004425753,0.0006428886,0.0000785577,0.0000241147,0.3119369,0.02738325,0.000289163],"study_design_scores_gemma":[0.0001740566,0.00003965361,0.6368871,0.000003298295,0.0000505629,9.636442e-7,0.00003162572,0.0008588731,0.0001071582,0.0205626,0.3409734,0.0003107418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884925,0.0007860786,0.00048282,0.002926258,0.0006676031,0.0001391938,0.00007839112,0.00006665356,0.1063605],"genre_scores_gemma":[0.9911643,0.0002823629,0.0004802268,0.003549832,0.001444125,0.00002423177,0.00007223965,0.00002522863,0.002957404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3135901,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466295018311382,"score_gpt":0.2688963767787728,"score_spread":0.224233426595659,"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."}}