{"id":"W2527326788","doi":"10.35800/akulturasi.4.7.2016.13007","title":"PENGARUH KUALITAS LAYANAN PENGUSAHA MANDIRI “YUSUF KASIM” TERHADAP KEPUASAN PELANGGAN DALAM USAHA PERDAGANGAN IKAN DEMERSAL ANTAR KOTA MANADO","year":2016,"lang":"en","type":"article","venue":"AKULTURASI (Jurnal Ilmiah Agrobisnis Perikanan)","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Demersal fish; Business; Fish <Actinopterygii>; Customer satisfaction; Data collection; Population; Quality (philosophy); Demersal zone; Marketing; Agricultural science; Fishery; Mathematics; Statistics; Biology; Demography; Physics","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":[0.0002705833,0.0002192488,0.0001365411,0.0002713742,0.001275589,0.0009697668,0.000260641,0.0001953943,0.009583448],"category_scores_gemma":[0.0004652661,0.0001245404,0.0001384714,0.0005882356,0.000414279,0.0004687799,0.0007038239,0.0004789218,0.0006881341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130828,"about_ca_system_score_gemma":0.002577911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599456,"about_ca_topic_score_gemma":0.04271889,"domain_scores_codex":[0.9998728,0.00002288008,0.000006837973,0.00001735478,0.00003323297,0.00004693532],"domain_scores_gemma":[0.9997024,0.00006324729,0.00004355405,0.00001765667,0.00009421726,0.00007895575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009455256,0.0008901628,0.3711887,0.001661773,0.0001318477,0.0100455,0.03839963,0.001577931,0.04159902,0.02373937,0.02331093,0.4865096],"study_design_scores_gemma":[0.00004941797,0.0004471804,0.5706807,0.0004706952,0.0001299839,0.002768124,0.09770428,0.001834356,0.01289125,0.002066383,0.3108764,0.0000812178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542508,0.001348867,0.0008895158,0.001602947,0.00007735373,0.00007163636,0.0002105729,0.00004575987,0.04150246],"genre_scores_gemma":[0.9811577,0.001024424,0.001194709,0.0001208583,0.00001066249,0.00003614485,0.00009790264,0.000007773458,0.01634988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599456,"threshold_uncertainty_score":0.03205979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059601288344121,"score_gpt":0.2788105512119503,"score_spread":0.2582145383285091,"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."}}