{"id":"W4205592860","doi":"10.2139/ssrn.4003544","title":"Lean Advice for New Investors","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Advice (programming); Business; Computer science","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":[0.001777359,0.0001120629,0.0002180205,0.0002082496,0.0005552935,0.00003741592,0.0003588493,0.00002916497,0.0001818255],"category_scores_gemma":[0.00004243264,0.0001394533,0.0001734059,0.0001938949,0.0000140763,0.0001604881,0.0000669603,0.0009026515,0.000107483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146442,"about_ca_system_score_gemma":0.0005218831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003430184,"about_ca_topic_score_gemma":0.0003174353,"domain_scores_codex":[0.997856,0.000008968267,0.0004027459,0.000228756,0.00005400761,0.001449535],"domain_scores_gemma":[0.9994369,0.00001617586,0.0003112519,0.0001570283,0.00001423759,0.00006443118],"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":[0.00004196683,0.00003745286,0.002519557,0.00000334032,0.00005734965,0.000001029683,0.0001777358,0.0002514904,0.000001531886,0.975103,0.008427479,0.01337806],"study_design_scores_gemma":[0.0005200771,0.0002563273,0.0004631329,9.350422e-7,0.000004516837,0.00001885285,0.0004274597,0.0001199614,0.000002722795,0.5626828,0.4353861,0.000117186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916156,0.06267654,0.2370399,0.01590115,0.007844222,0.001929294,0.0002322644,0.0002994566,0.08246153],"genre_scores_gemma":[0.9575888,0.002828674,0.0004163213,0.001130881,0.0007830599,0.00005321438,0.00001236362,0.00004531731,0.03714139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269586,"threshold_uncertainty_score":0.568674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771997013978674,"score_gpt":0.2115334683364463,"score_spread":0.1938134981966595,"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."}}