{"id":"W4318827530","doi":"10.2139/ssrn.4299804","title":"Microloan Rates, Business Cycle, and Transmission Channels","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Business cycle; Transmission (telecommunications); Transmission channel; Business; Economics; Telecommunications; Computer science; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001999833,0.0001854526,0.000338501,0.001478206,0.0007616542,0.005859416,0.0005626713,0.0007342474,0.01582389],"category_scores_gemma":[0.01719724,0.0002428491,0.0003087958,0.001885515,0.001288495,0.003216391,0.0009750359,0.00131308,0.0008789423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504223,"about_ca_system_score_gemma":0.001594844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168619,"about_ca_topic_score_gemma":0.01110811,"domain_scores_codex":[0.9991002,0.0002270652,0.00003763901,0.0001195961,0.0001837043,0.0003318248],"domain_scores_gemma":[0.9850817,0.009129575,0.002922372,0.000470426,0.0009563151,0.001439533],"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":[0.003365482,0.0005051818,0.2035022,0.0002735564,0.0001554817,0.0009148663,0.001391202,0.074131,0.003495675,0.600096,0.008703901,0.1034655],"study_design_scores_gemma":[0.0005624978,0.00150848,0.3268955,0.0006273654,0.0005276041,0.001287129,0.008131706,0.1452311,0.01253263,0.4373066,0.06506553,0.0003237314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8912026,0.002097523,0.008866573,0.00371269,0.00009135922,0.00005715723,0.0008450064,0.0001518571,0.09297514],"genre_scores_gemma":[0.9917469,0.0004399748,0.0002289252,0.00009346063,0.00005181725,0.00001309552,0.00008775937,0.00001866368,0.007319303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01582389,"threshold_uncertainty_score":0.05293614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0042337443678941,"score_gpt":0.2063558821327656,"score_spread":0.2021221377648715,"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."}}