{"id":"W7054789673","doi":"","title":"Analisis Penggunaan Aset Dalam Mengukur Profitabilitas Pada CV. Indo Akebono Ohta Medan","year":2017,"lang":"en","type":"other","venue":"Repository Universitas Medan area (yes, our institution host repository self.)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Profitability index; Asset (computer security); Relevance (law); Descriptive statistics; Data envelopment analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0003615619,0.001326411,0.001176386,0.0008907565,0.001572334,0.0004565659,0.001666135,0.0012204,0.0001204859],"category_scores_gemma":[0.00005319081,0.001439867,0.0005899108,0.0004795931,0.0003622952,0.0007966079,0.0003111718,0.00109116,0.0001343103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855246,"about_ca_system_score_gemma":0.0007910538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006210738,"about_ca_topic_score_gemma":0.0001552613,"domain_scores_codex":[0.995221,0.0003441666,0.0008863143,0.001496063,0.001101839,0.0009506125],"domain_scores_gemma":[0.9949468,0.00006254805,0.0008540774,0.003015468,0.0002965648,0.0008245338],"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":[0.00007013905,0.0004692088,0.003700235,0.00111339,0.002211821,0.002022323,0.001224268,0.0006793956,0.01540516,0.00281797,0.9700038,0.0002822257],"study_design_scores_gemma":[0.001752317,0.0001711373,0.002525026,0.001332182,0.001702511,0.0006948576,0.003046281,0.0008116671,0.01307948,0.00001950021,0.9723164,0.002548593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008167983,0.002999562,0.0007328728,0.000111461,0.00563672,0.002362057,0.0005467485,0.004176068,0.9752665],"genre_scores_gemma":[0.7893749,0.0005688081,0.001204922,0.00004004514,0.001987724,0.0002079296,0.001109246,0.000795329,0.204711],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.781207,"threshold_uncertainty_score":0.9999487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074224967865104,"score_gpt":0.2104405805322354,"score_spread":0.1996983308535844,"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."}}