{"id":"W7039192775","doi":"","title":"Market reaction to corporate loan announcements and mergers of financial institutions, the Canadian evidence","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Loan; Financial market; Payment; Term (time); Market data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002285914,0.0003581405,0.0004420056,0.003154831,0.003628695,0.004019073,0.001833991,0.002504779,0.01948135],"category_scores_gemma":[0.02483687,0.000408794,0.0006109725,0.006497747,0.001933294,0.001868364,0.001228793,0.002194943,0.00110028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02669515,"about_ca_system_score_gemma":0.04503593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925067,"about_ca_topic_score_gemma":0.9963213,"domain_scores_codex":[0.9976099,0.0001642272,0.0001529823,0.0002054817,0.001138293,0.000729201],"domain_scores_gemma":[0.9641345,0.008593427,0.01322939,0.0009412497,0.009402755,0.003698783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001069388,0.0003506844,0.8700865,0.0004567686,0.0002793671,0.000402748,0.003085635,0.0005476992,0.0001840789,0.009643598,0.08511654,0.02877708],"study_design_scores_gemma":[0.00006972818,0.00003644557,0.9775543,0.0001158218,0.0001870391,0.00004139118,0.003604513,0.0003965575,0.0001404346,0.000568634,0.01724608,0.00003926638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7808158,0.02329377,0.0002531337,0.04663485,0.0003412742,0.0002188236,0.04143132,0.00007104839,0.10694],"genre_scores_gemma":[0.9534602,0.008956625,0.0001371684,0.002691651,0.0002003216,0.00003686215,0.006338358,0.0000210432,0.0281578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02669515,"threshold_uncertainty_score":0.1936877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420938814075768,"score_gpt":0.1654910592658156,"score_spread":0.1512816711250579,"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."}}