{"id":"W6976965979","doi":"10.60692/65txp-5ss54","title":"Conclusion","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Qualitative research; Qualitative property; Key (lock); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005064813,0.0001186834,0.0002467738,0.0004263503,0.0002415878,0.0000914144,0.000167734,0.0001181417,0.00008575806],"category_scores_gemma":[0.00002303096,0.0001231111,0.00008234233,0.0005577147,0.00001882609,0.0006024168,0.0001514373,0.00007063395,0.04644994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011466,"about_ca_system_score_gemma":0.00001046293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001967139,"about_ca_topic_score_gemma":9.530013e-8,"domain_scores_codex":[0.9988285,0.000007181372,0.0007019389,0.0001565239,0.00004997645,0.0002559292],"domain_scores_gemma":[0.9992682,0.000002999482,0.000346324,0.0002876029,0.00004477717,0.00005005362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007271671,0.000004338594,0.5566989,0.0005782184,0.00004128676,0.00001892909,0.1412114,0.0002441927,0.00001523969,0.2807196,0.01828011,0.002115046],"study_design_scores_gemma":[0.003427265,0.0001431465,0.6041859,0.0003130448,0.00001140981,0.00004539374,0.01188105,0.01998988,0.001136957,0.0009181064,0.3566293,0.001318574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952162,0.00002406184,0.02590949,0.0002118975,0.001555515,0.0003545024,0.0003863608,0.0006377404,0.0757042],"genre_scores_gemma":[0.9983246,0.000001828501,0.00007313836,0.0002216386,0.0001005314,0.00003198436,0.00004321105,0.00001019315,0.001192812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3383492,"threshold_uncertainty_score":0.9542925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05272530946388185,"score_gpt":0.2006067608485519,"score_spread":0.1478814513846701,"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."}}