{"id":"W7034802452","doi":"","title":"Which Canadian firms benefit most from cross-listing on a U.S. stock exchange?","year":2008,"lang":"en","type":"article","venue":"Warwick Research Archive Portal (University of Warwick)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Payment; Stock market; Stock exchange","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006942523,0.0002355018,0.0004973922,0.0007925262,0.001429309,0.002054049,0.000602508,0.0008989032,0.01167594],"category_scores_gemma":[0.004962095,0.0001002751,0.0004136242,0.001735396,0.0003839118,0.001023796,0.0005003483,0.0006418215,0.001224736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005723282,"about_ca_system_score_gemma":0.01322128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8416529,"about_ca_topic_score_gemma":0.9543315,"domain_scores_codex":[0.9994813,0.00005055192,0.00001424439,0.00004758806,0.0001082128,0.0002981908],"domain_scores_gemma":[0.9976986,0.0002865027,0.0003569234,0.00006851472,0.0006784284,0.0009110379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001358639,0.0003709241,0.7383207,0.0001780854,0.0002834034,0.0003282578,0.0003168211,0.002478579,0.0007147646,0.003954336,0.09506153,0.156634],"study_design_scores_gemma":[0.0001718234,0.0001664304,0.9551982,0.0001331637,0.0005270732,0.0002197474,0.0051202,0.005711766,0.001014879,0.002996663,0.02868487,0.00005520875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932537,0.005939947,0.0003932333,0.03605038,0.0002963986,0.00006281306,0.01379091,0.0001242536,0.05008829],"genre_scores_gemma":[0.9844385,0.001430918,0.0001952391,0.001328542,0.00009848909,0.000004425781,0.004151284,0.00001476884,0.008337933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583471,"threshold_uncertainty_score":0.3185593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172035138609846,"score_gpt":0.2822266632442968,"score_spread":0.2305063118581983,"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."}}