{"id":"W3124997822","doi":"10.2139/ssrn.255779","title":"Industry Risk and Market Integration","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business","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":[0.0009821254,0.00039546,0.0007079361,0.0009844843,0.0004850173,0.003031208,0.0003369371,0.001189923,0.007728371],"category_scores_gemma":[0.005800719,0.0002051135,0.0003844808,0.001185711,0.0007264723,0.003050359,0.001519377,0.001248304,0.0006874091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125417,"about_ca_system_score_gemma":0.0003495989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228124,"about_ca_topic_score_gemma":0.001039598,"domain_scores_codex":[0.9997645,0.00006307955,0.00001316214,0.00005274113,0.00005308625,0.00005357981],"domain_scores_gemma":[0.998044,0.0007467589,0.0006036657,0.0001338751,0.0001699888,0.0003016871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003704077,0.0003959972,0.09465066,0.00007271001,0.0003733302,0.0008670624,0.000748733,0.04684364,0.001745909,0.7524737,0.004867905,0.09658983],"study_design_scores_gemma":[0.00004572539,0.0001167474,0.05065018,0.00004781516,0.0001294718,0.000423957,0.0005446675,0.07261121,0.0004090458,0.8700805,0.004907172,0.00003347524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151415,0.004553404,0.02732371,0.003311538,0.00009223769,0.00002426669,0.0001363665,0.00008313741,0.04933385],"genre_scores_gemma":[0.9945384,0.0006405222,0.0005290924,0.0000472477,0.00007533955,0.000004221233,0.00004598152,0.000005608826,0.00411363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007728371,"threshold_uncertainty_score":0.02585399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564256123097774,"score_gpt":0.2164273185539317,"score_spread":0.200784757322954,"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."}}