{"id":"W3004375104","doi":"","title":"A Prosperity Index for British Columbia: Technical Background","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Index (typography); Standard of living; Geography; Economic growth; Development economics; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184354,0.0008531579,0.0004860341,0.01348646,0.002426904,0.002633779,0.001490663,0.0003648531,0.01733442],"category_scores_gemma":[0.007408156,0.000569972,0.0004848472,0.02236467,0.0004390941,0.0008867456,0.001556839,0.001193466,0.007484671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01727535,"about_ca_system_score_gemma":0.0333657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.963176,"about_ca_topic_score_gemma":0.9659114,"domain_scores_codex":[0.9980363,0.0001498964,0.000162618,0.000194232,0.001196472,0.0002605049],"domain_scores_gemma":[0.9886258,0.0004376283,0.0003575866,0.0004101498,0.00957526,0.0005937379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009416423,0.0001231754,0.1112523,0.0008681158,0.00009098352,0.0002946081,0.001069494,0.003497006,0.001181796,0.01068814,0.5919785,0.2788618],"study_design_scores_gemma":[0.00002939408,0.00003300689,0.4205729,0.0004270169,0.00003947605,0.0001861617,0.0009956434,0.00251938,0.001058154,0.001725464,0.5723,0.0001134031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.07291979,0.007484156,0.01804944,0.004183214,0.0005011778,0.00385525,0.6542348,0.002360369,0.2364119],"genre_scores_gemma":[0.1807258,0.01051657,0.07639387,0.0007926458,0.0002560771,0.005085477,0.5105371,0.001113553,0.2145788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03682399,"threshold_uncertainty_score":0.125342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612383860185274,"score_gpt":0.316558360740243,"score_spread":0.1553199747217155,"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."}}