{"id":"W3123168173","doi":"10.2139/ssrn.2665266","title":"Macro-Micro Models","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Macro; Computer science; Programming language","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":[0.006033646,0.0001067187,0.0001543974,0.00006097068,0.0005418789,0.0001154214,0.0004147023,0.0001049048,0.00005801418],"category_scores_gemma":[0.0001661881,0.00009392855,0.000105592,0.0001840878,0.0001188629,0.0005306124,0.00003397246,0.001116944,0.0001168213],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928034,"about_ca_system_score_gemma":0.00623178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410507,"about_ca_topic_score_gemma":0.008450611,"domain_scores_codex":[0.9964455,0.000314911,0.0002412721,0.0001438833,0.0005370105,0.002317429],"domain_scores_gemma":[0.9992506,0.00003316641,0.0001219273,0.0001321239,0.0002195893,0.0002426276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003240566,0.00004858851,0.001004529,0.000001213292,0.00003657457,0.000002644803,0.005784602,0.00004557475,0.00003461677,0.9845545,0.002893078,0.005561626],"study_design_scores_gemma":[0.0004433975,0.0001076769,0.00004264659,0.000004172874,0.00001239338,0.00003895553,0.01378581,0.00009734266,0.00003036705,0.9335504,0.0517362,0.0001507111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4650252,0.007530178,0.0332942,0.009706731,0.00257223,0.0003234955,0.000006968161,0.0001967723,0.4813442],"genre_scores_gemma":[0.9839085,0.002369732,0.0001024625,0.0004216106,0.001173868,0.000001799211,0.000001303592,0.00001358392,0.01200712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5188833,"threshold_uncertainty_score":0.999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04262767887888337,"score_gpt":0.3183677984834225,"score_spread":0.2757401196045391,"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."}}