{"id":"W2883875460","doi":"10.32639/jiak.v7i2.207","title":"ANALISIS FUNDAMENTAL SAHAM DI SEKTOR ASURANSI ( Studi Kasus Di Bursa Efek Indonesia 2014-2017)","year":2018,"lang":"en","type":"article","venue":"Jurnal Ilmiah Akuntansi dan Keuangan","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Price–earnings ratio; Earnings per share; Quarter (Canadian coin); Earnings; Stock (firearms); Value (mathematics); Market capitalization; Investment (military); Growth stock; Finance; Actuarial science; Stock market; Statistics; Mathematics","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":[0.001087682,0.0002501219,0.000181524,0.002584639,0.0004295019,0.001519654,0.0002402591,0.0001542844,0.004017072],"category_scores_gemma":[0.001954975,0.00009977454,0.0001702061,0.002532107,0.0003300599,0.001179615,0.0006843869,0.0003693999,0.0006794928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000757985,"about_ca_system_score_gemma":0.0006576975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690373,"about_ca_topic_score_gemma":0.005092307,"domain_scores_codex":[0.9994264,0.00007640959,0.00006473465,0.0000664129,0.0003034146,0.00006265078],"domain_scores_gemma":[0.9984616,0.0003920533,0.0004481558,0.00006936948,0.0005317157,0.00009716954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002424757,0.0001502278,0.6662099,0.0008723209,0.00009543497,0.0008929342,0.01656431,0.0006000107,0.002893498,0.01064839,0.01142738,0.2894031],"study_design_scores_gemma":[0.000004216907,0.0001044717,0.9328922,0.0002268432,0.00003971145,0.0005641818,0.01834675,0.0008249653,0.001859703,0.001420867,0.04369437,0.00002160408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679229,0.001583103,0.0008186354,0.0002565123,0.00004469915,0.00005673056,0.001946298,0.00002659963,0.02734456],"genre_scores_gemma":[0.9878648,0.001036472,0.001090209,0.00003295171,0.00002288981,0.00004987531,0.001674914,0.00001261358,0.008215359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004017072,"threshold_uncertainty_score":0.01343846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768250730731153,"score_gpt":0.2253546277024736,"score_spread":0.207672120395162,"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."}}