{"id":"W2960375747","doi":"","title":"PEMANFAATKAN TEKNOLOGI TEPAT GUNA PADA USAHA KERAJINAN KULIT UNTUK MENINGKATKAN KUALITAS DAN EKSPOR PRODUK","year":2016,"lang":"id","type":"article","venue":"","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics; Humanities; Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003215119,0.000811247,0.0008361747,0.0002714156,0.001312224,0.0007179176,0.001351077,0.0005347516,0.003294245],"category_scores_gemma":[0.002531868,0.0005558645,0.0003565293,0.001124896,0.001183628,0.001485471,0.000714411,0.0003095072,0.001549391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006024746,"about_ca_system_score_gemma":0.0008128933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008685768,"about_ca_topic_score_gemma":0.001878498,"domain_scores_codex":[0.9931331,0.00072285,0.001221617,0.001596996,0.001249461,0.002076007],"domain_scores_gemma":[0.9964301,0.001143613,0.0005557603,0.0008223421,0.0003712412,0.0006769412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000474789,0.0008604548,0.5168676,0.000254057,0.0005971196,0.0002481491,0.02656904,4.660576e-7,0.003039699,0.09257986,0.0805589,0.2779499],"study_design_scores_gemma":[0.002107566,0.0005728089,0.08991768,0.0008199294,0.0001470628,0.00002518505,0.03020774,0.000009746042,0.004307285,0.006262721,0.8629777,0.002644615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4730825,0.0004085207,0.0000477312,0.01141953,0.001542212,0.0008276132,0.00002223601,0.0004799905,0.5121697],"genre_scores_gemma":[0.7522873,0.0004696865,0.000648595,0.0005331723,0.0006347214,0.00005278778,0.00002008497,0.00006243561,0.2452912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7824187,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790033294330398,"score_gpt":0.2800193667647858,"score_spread":0.2521190338214819,"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."}}