{"id":"W6998715031","doi":"","title":"Avaliação de patrimônio da Grieg Seafood ASA","year":2024,"lang":"en","type":"dissertation","venue":"Repositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa)","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weighting; Valuation (finance); Stock (firearms); Market liquidity; Equity (law); Relative value; Stock price; Relative price; Revenue","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002052035,0.002072548,0.002009279,0.00435808,0.00173935,0.001703943,0.002502271,0.00228467,0.001764972],"category_scores_gemma":[0.001112772,0.002420585,0.001728073,0.00427239,0.0005474747,0.003090691,0.0009540049,0.003601535,0.001847641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358897,"about_ca_system_score_gemma":0.005265463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893087,"about_ca_topic_score_gemma":0.001725028,"domain_scores_codex":[0.9878296,0.0001607663,0.002228672,0.003415473,0.003836742,0.002528796],"domain_scores_gemma":[0.99162,0.000249692,0.002804195,0.002248395,0.00240464,0.0006730995],"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":[0.002835457,0.002444102,0.00530555,0.008808967,0.004077284,0.03659372,0.004912531,0.0007463202,0.03250287,0.3498965,0.5149484,0.03692836],"study_design_scores_gemma":[0.00210076,0.0002151729,0.03517734,0.001941948,0.002733704,0.000604331,0.007099829,0.001450361,0.0005387969,0.002796067,0.9416114,0.003730278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5757514,0.002612531,0.0002181544,0.006421415,0.007182604,0.003240746,0.0004207566,0.002442989,0.4017094],"genre_scores_gemma":[0.8328595,0.0006431204,0.0005659585,0.001603396,0.005153232,0.0001523663,0.02023134,0.0006552677,0.1381358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426663,"threshold_uncertainty_score":0.9995602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427779949310232,"score_gpt":0.2820089838127789,"score_spread":0.2477311843196766,"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."}}