{"id":"W7048255211","doi":"","title":"Interdependencies of quarter report announcement in stock price volatility: comparative analysis of construction industries/ Mohamed Farhan Mohamed Firdaus","year":2017,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Stock price; Interdependence; Equity (law); Investment decisions; Investment analysis; Cost price; Restricted stock","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":[0.0006499676,0.0001400578,0.0001889105,0.001102705,0.000194928,0.0008882402,0.0001797352,0.0002578709,0.001972647],"category_scores_gemma":[0.002947887,0.0001124206,0.0003960587,0.001187122,0.0001617786,0.0004761531,0.0003538604,0.0003687167,0.0002955635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578627,"about_ca_system_score_gemma":0.0004324064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007902251,"about_ca_topic_score_gemma":0.008783521,"domain_scores_codex":[0.9994169,0.00007150709,0.00006640835,0.00007326471,0.0002840873,0.00008793559],"domain_scores_gemma":[0.9962275,0.001005552,0.001870404,0.000142515,0.0005347008,0.0002193336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007941591,0.00003958675,0.9898121,0.00001884784,0.00006770219,0.000208475,0.0001743915,0.0001911912,0.0002948136,0.0001097384,0.0004609284,0.008542903],"study_design_scores_gemma":[8.701709e-7,0.0000350281,0.9986766,0.000005813326,0.00001486151,0.00007205163,0.0001814533,0.0003856567,0.0001685942,0.0000262283,0.0004291704,0.000003724441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967266,0.0009048305,0.0001066011,0.0002766534,0.0000162663,0.000004958606,0.0003971703,0.000006440816,0.001560416],"genre_scores_gemma":[0.9984969,0.0003694373,0.00004868707,0.00001917646,0.00002806627,0.000002534866,0.0004085057,0.000001817261,0.0006248981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007902251,"threshold_uncertainty_score":0.01571256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583618136003225,"score_gpt":0.2840829860167409,"score_spread":0.2582468046567087,"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."}}