{"id":"W4384935915","doi":"10.32664/j-intech.v11i1.841","title":"Simple Additive Weighting Untuk Penentuan Target Pasar","year":2023,"lang":"id","type":"article","venue":"J-INTECH","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001320154,0.0005520792,0.0007004535,0.0009663228,0.0007968483,0.0009072098,0.001022715,0.0002905785,0.04638329],"category_scores_gemma":[0.0006934819,0.000556431,0.000364299,0.003551082,0.000119636,0.001122262,0.001187091,0.0004335428,0.2863607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499946,"about_ca_system_score_gemma":0.00009644154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003265938,"about_ca_topic_score_gemma":0.00007641145,"domain_scores_codex":[0.9956622,0.00004597373,0.001164792,0.001086794,0.0009999417,0.001040373],"domain_scores_gemma":[0.9968867,0.0004046963,0.000785021,0.001131404,0.0007135366,0.00007858447],"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":[0.00002141746,0.000131546,0.004570553,0.0001783287,0.0001089911,0.0001021744,0.0001420347,0.000001078929,0.001757317,0.00260906,0.9881787,0.002198786],"study_design_scores_gemma":[0.000503763,0.00001571061,0.007089316,0.0002192249,0.0001001388,0.000005882589,0.002718849,0.0008520563,0.001549168,0.006413206,0.9799113,0.0006213454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05625645,0.0005134646,0.009809016,0.01025617,0.005341271,0.004223227,0.0006924789,0.003895415,0.9090125],"genre_scores_gemma":[0.8388491,0.00007018803,0.0003007661,0.001466416,0.002940899,0.000434816,0.001612469,0.0002114384,0.154114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7825926,"threshold_uncertainty_score":0.9996887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676055442995434,"score_gpt":0.2760645770670571,"score_spread":0.2493040226371028,"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."}}