{"id":"W3083704238","doi":"10.31219/osf.io/wytpq","title":"The Economics of Bernard Lonergan: Context, Modelling and Assessment","year":2020,"lang":"en","type":"article","venue":"","topic":"Catholicism and Religious Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Catholic University; University of Toronto; Marquette University; John Templeton Foundation","keywords":"Business cycle; Context (archaeology); Economics; Relation (database); Reading (process); Rational expectations; Positive economics; Economic Thought; Neoclassical economics; Keynesian economics; Law; Political science; History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004252545,0.00005283397,0.0001051232,0.000006330269,0.0002555296,0.00005865181,0.00005041983,0.000008949064,0.00002954694],"category_scores_gemma":[0.000001905282,0.00002998581,0.00003095657,0.00000413313,0.0001740332,0.00002853037,0.00005319001,0.00004216796,0.00000403489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004317043,"about_ca_system_score_gemma":0.00001098845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004392503,"about_ca_topic_score_gemma":0.0008616679,"domain_scores_codex":[0.9996949,0.00000530446,0.0001259119,0.00007179358,0.00003081447,0.00007125545],"domain_scores_gemma":[0.9998015,0.00005102408,0.0000392506,0.00005347564,0.00003069053,0.00002408571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007511081,0.000006121647,0.00004341092,0.00001165068,0.00004138413,3.023107e-7,0.02663507,0.0002986727,0.000004629336,0.9650677,0.00550537,0.002378182],"study_design_scores_gemma":[0.0002466858,0.00009802244,0.00001308158,0.000006354607,0.00002838505,8.326451e-7,0.01959141,0.0185699,0.0000913051,0.005924693,0.955325,0.0001043146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4502759,0.005540487,0.0007905641,0.02336231,0.0003486897,0.000203517,0.00002930156,0.00005491644,0.5193943],"genre_scores_gemma":[0.9912887,0.005635341,0.0000775758,0.0006120097,0.0001682756,0.000002598679,7.257289e-7,0.000005337436,0.002209394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.959143,"threshold_uncertainty_score":0.1965353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05063932313232071,"score_gpt":0.2259279636379084,"score_spread":0.1752886405055877,"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."}}