{"id":"W2898325562","doi":"10.1111/infi.12148","title":"Your fathers’ mistakes: Critiques of GDP and the search for an alternative","year":2018,"lang":"en","type":"article","venue":"International Finance","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Agency (philosophy); Poverty; Gross domestic product; Human Development Index; Democracy; Government (linguistics); Standard of living; Sociology; Economics; Political science; Politics; Economic growth; Law; Social science; Human development (humanity)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002257411,0.00006724498,0.00006983417,0.00001782247,0.00008345481,0.00001890979,0.0002636152,0.00002036622,0.0002244594],"category_scores_gemma":[0.00003685116,0.00004979949,0.00002466707,0.00004168691,0.0007301169,0.0002018039,0.00007545065,0.00003595872,0.000023823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007486967,"about_ca_system_score_gemma":0.000006153708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114739,"about_ca_topic_score_gemma":0.00007906032,"domain_scores_codex":[0.9993945,0.00002160916,0.0001183558,0.0001616463,0.0001782758,0.0001256418],"domain_scores_gemma":[0.9997618,0.0000584295,0.00004576582,0.00009395451,0.0000196541,0.00002039043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004182263,0.0009077236,0.2121112,0.00008414631,0.0003309236,0.00001766369,0.1569304,0.001542625,0.02539208,0.3413399,0.02992115,0.22724],"study_design_scores_gemma":[0.006581235,0.0009169106,0.5179768,0.00009067035,0.000027404,0.00002989721,0.01255407,0.02883384,0.1300606,0.08214956,0.2200336,0.0007454555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724274,0.00002232777,0.00131131,0.001119554,0.0001163822,0.0001973396,0.000032754,0.000006047509,0.02476687],"genre_scores_gemma":[0.9936072,0.00004821356,0.001619908,0.0003349987,0.0001058399,0.0000318789,0.000005656464,0.00000694868,0.00423941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3058656,"threshold_uncertainty_score":0.2690146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283732861077861,"score_gpt":0.3127924357988319,"score_spread":0.2799551071880533,"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."}}