{"id":"W7112804771","doi":"","title":"Company analysis / Syafirulhaizal Affif Mohd Faezal ... [et al.]","year":2019,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Population; Gross domestic product; Developed country; Global strategy; Emerging markets","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":[0.001444761,0.0006491728,0.0003136269,0.004840161,0.001675331,0.005121622,0.0007192036,0.001188123,0.2869592],"category_scores_gemma":[0.007282483,0.0002506385,0.0004214722,0.004839116,0.0004745079,0.002361505,0.001214673,0.001077777,0.1222341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951701,"about_ca_system_score_gemma":0.004386995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197249,"about_ca_topic_score_gemma":0.02071546,"domain_scores_codex":[0.998522,0.0001617762,0.0001001656,0.0001510017,0.0009112455,0.0001539993],"domain_scores_gemma":[0.9957917,0.0004889556,0.0003963413,0.0002806795,0.002699649,0.0003426252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003322331,0.00002037457,0.002372747,0.0003039889,0.00001144908,0.00009745226,0.000168725,0.00006556708,0.0001277434,0.006894757,0.8655459,0.124358],"study_design_scores_gemma":[0.000004780209,0.000004165764,0.001955153,0.0002369991,0.000007040424,0.0001166231,0.0002390279,0.00009139395,0.0002397118,0.0005428664,0.9965554,0.00000684811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004738403,0.009297848,0.002686025,0.02746847,0.00331073,0.0002368873,0.03260377,0.001845157,0.9178127],"genre_scores_gemma":[0.04895591,0.01394862,0.003078694,0.006129131,0.001115084,0.0001654902,0.02471217,0.001058825,0.9008361],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2869592,"threshold_uncertainty_score":0.9599742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486088311640845,"score_gpt":0.2494228480261938,"score_spread":0.2345619649097853,"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."}}