{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600529,0.0006016882,0.0004142247,0.002723525,0.0006182377,0.00291694,0.0005914473,0.0003317989,0.0153514],"category_scores_gemma":[0.004189988,0.0002027167,0.0006095417,0.002965815,0.0005358272,0.001938554,0.0008770684,0.0008515777,0.002192525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209137,"about_ca_system_score_gemma":0.001230474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009899671,"about_ca_topic_score_gemma":0.01721043,"domain_scores_codex":[0.9987441,0.000187906,0.0001250173,0.0002148424,0.0005813326,0.0001467639],"domain_scores_gemma":[0.9964965,0.001659197,0.0005353605,0.0001141413,0.001005786,0.0001890181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007230635,0.0004094618,0.6058345,0.002287263,0.0004408525,0.001948709,0.01627013,0.002202374,0.004021585,0.006927093,0.0212197,0.3377152],"study_design_scores_gemma":[0.00001129892,0.0002306091,0.8889079,0.0006209149,0.0002099936,0.0007542997,0.04163582,0.003767679,0.003048039,0.00198255,0.05874514,0.00008574605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328142,0.003495692,0.002048833,0.0009503638,0.0001645773,0.0001374012,0.004475239,0.0001265304,0.05578708],"genre_scores_gemma":[0.9794676,0.001571653,0.002247243,0.00007874686,0.00004302345,0.0001170333,0.002465152,0.00005155124,0.01395806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153514,"threshold_uncertainty_score":0.05135548,"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."}}