{"id":"W2063188597","doi":"10.2139/ssrn.2196196","title":"Inter-Industry Network Structure, Information Transfers, and the Cross-Predictability of Earnings and Stock Returns","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Predictability; Earnings; Stock (firearms); Business; Economics; Financial economics; Econometrics; Finance; Mathematics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010002,0.0001479143,0.0002237604,0.001393892,0.0004055189,0.001599197,0.000356981,0.0006863846,0.00450537],"category_scores_gemma":[0.01183031,0.0001824743,0.0001940965,0.001449609,0.000647562,0.002390899,0.0008095353,0.0005779997,0.0004724649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194059,"about_ca_system_score_gemma":0.0002407569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333752,"about_ca_topic_score_gemma":0.005483426,"domain_scores_codex":[0.9997235,0.00008313844,0.00002234709,0.00005607452,0.00004786544,0.00006699456],"domain_scores_gemma":[0.9867033,0.008113741,0.003246322,0.0007222834,0.0006243885,0.00058999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000499344,0.0002584854,0.8921565,0.00005657613,0.0003484652,0.0004931405,0.0007377142,0.03585019,0.001905831,0.02771067,0.002039036,0.0379441],"study_design_scores_gemma":[0.00004634036,0.0001419487,0.8449795,0.00004257186,0.0002152066,0.0002304132,0.0009614715,0.09078333,0.0009100308,0.05979665,0.001849054,0.00004335244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943601,0.0003044033,0.002089082,0.0004098495,0.000009190798,0.000005238202,0.0001630695,0.00002226596,0.002636561],"genre_scores_gemma":[0.9992967,0.000115131,0.00009372252,0.00001110399,0.00001317798,0.00000187557,0.00007655496,0.000002010214,0.000389766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00450537,"threshold_uncertainty_score":0.01507193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004275097300337378,"score_gpt":0.1871314603918946,"score_spread":0.1828563630915573,"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."}}