{"id":"W4385432345","doi":"10.35724/mjti.v5i02.5322","title":"IMPLEMENTASI TEKNOLOGI E-MARKET UNTUK MENINGKATKAN LAYANAN PERDAGANGAN TERNAK","year":2023,"lang":"id","type":"article","venue":"Musamus Journal of Technology & Information","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities","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":[0.004980542,0.0007071532,0.0004874555,0.001281458,0.00230377,0.01139,0.001602785,0.00267349,0.0811641],"category_scores_gemma":[0.01023236,0.0004683176,0.0007821151,0.001413079,0.001535736,0.008598353,0.004058239,0.002447104,0.03149068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556428,"about_ca_system_score_gemma":0.006074409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297343,"about_ca_topic_score_gemma":0.0037343,"domain_scores_codex":[0.9955848,0.00134114,0.0002615542,0.0005664988,0.001507261,0.000738623],"domain_scores_gemma":[0.9926489,0.002059268,0.0005571261,0.001352725,0.002300261,0.00108174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007177592,0.001148993,0.02234196,0.00196233,0.0001213773,0.001591822,0.008186759,0.002918748,0.0140856,0.2347865,0.1123578,0.5997805],"study_design_scores_gemma":[0.0001098145,0.0003378388,0.01157438,0.0007431267,0.00009029235,0.0009374068,0.006756866,0.004231835,0.007642009,0.04190851,0.9255532,0.0001145937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06556175,0.004355825,0.0910596,0.02131581,0.001261308,0.001267367,0.001855273,0.004686029,0.808637],"genre_scores_gemma":[0.5355657,0.007691212,0.07521469,0.004750848,0.0006910973,0.001064737,0.002523303,0.00138099,0.3711174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0811641,"threshold_uncertainty_score":0.2715209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154137811139985,"score_gpt":0.2625879107056917,"score_spread":0.2471741295916932,"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."}}