{"id":"W2989622118","doi":"10.2139/ssrn.3470974","title":"Discovering Fundamental Value","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Queen's University","funders":"","keywords":"Value (mathematics); Mathematics; Statistics","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":[0.01828156,0.0001747908,0.0002932469,0.0002822633,0.0002281923,0.0003858587,0.001044722,0.000065579,0.0007055425],"category_scores_gemma":[0.001964746,0.0001264086,0.0002416368,0.0005692012,0.00004780351,0.0005431274,0.0001936113,0.001669453,0.0009715376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580653,"about_ca_system_score_gemma":0.001385071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130841,"about_ca_topic_score_gemma":0.00007763122,"domain_scores_codex":[0.9946855,0.0004910424,0.0005905884,0.0004052436,0.001503,0.002324654],"domain_scores_gemma":[0.9978754,0.001087547,0.0003454595,0.0004605881,0.000106776,0.0001242089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002530651,0.00008508715,0.2379529,0.00000360352,0.0001764639,0.00001008539,0.0005233735,0.001417459,0.003903898,0.2791186,0.0006321324,0.4759233],"study_design_scores_gemma":[0.0008895313,0.0004478178,0.02027712,0.00002319286,0.00001663581,0.001426246,0.004363656,0.001978774,0.0002255244,0.9576066,0.01245089,0.0002940511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401259,0.0005471802,0.03636063,0.0003922196,0.00142964,0.0001339257,0.000001509409,0.00003007941,0.02097893],"genre_scores_gemma":[0.9788956,0.00009000787,0.001794654,0.00009908641,0.0003026433,0.000001905986,4.437428e-7,0.00002460828,0.01879104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.678488,"threshold_uncertainty_score":0.9998063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234556357650118,"score_gpt":0.3720685958038578,"score_spread":0.3297230322273566,"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."}}