{"id":"W3160454287","doi":"10.35791/agrsosek.16.2.2020.29485","title":"TINGKAT KESEJAHTERAAN KELUARGA PETANI KELAPA DI DESA KLABAT KECAMATAN DIMEMBE KABUPATEN MINAHASA UTARA","year":2020,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Food Security and Socioeconomic Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Nonprobability sampling; Welfare; Socioeconomics; Population; Family income; Geography; Agricultural science; Descriptive statistics; Agency (philosophy); Agriculture; Business; Economic growth; Environmental health; Medicine; Sociology; Economics; Social science; Mathematics; Statistics; Biology","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":[0.0002397998,0.0002026909,0.0001578587,0.0005247529,0.001380585,0.000951902,0.0002516967,0.0001826005,0.006787527],"category_scores_gemma":[0.0004514141,0.0001334968,0.00009233366,0.0007706761,0.0004721802,0.0005724865,0.0007271837,0.0002208674,0.0004508559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031521,"about_ca_system_score_gemma":0.001706317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105525,"about_ca_topic_score_gemma":0.0445678,"domain_scores_codex":[0.9998512,0.00002679753,0.000008066653,0.00003411871,0.00002930574,0.00005045776],"domain_scores_gemma":[0.9997204,0.00006747242,0.00007503442,0.00001558608,0.00005094048,0.00007060766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003062403,0.0004672917,0.7184231,0.001403946,0.00005383747,0.007892888,0.05313056,0.00031208,0.02253052,0.00530117,0.004658837,0.1855195],"study_design_scores_gemma":[0.00001992827,0.0002700452,0.87564,0.0003055019,0.00004414329,0.003730858,0.06330457,0.0002103285,0.001675664,0.0007030899,0.05406371,0.00003222565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874905,0.0009256495,0.0003027867,0.0002657005,0.00001502516,0.00004727049,0.000191634,0.00001614538,0.01074531],"genre_scores_gemma":[0.9919239,0.0007508653,0.0006295137,0.00009089019,0.000005811113,0.00006632612,0.0002052007,0.00000408366,0.006323487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105525,"threshold_uncertainty_score":0.02270657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401249622863162,"score_gpt":0.1821263534179378,"score_spread":0.1581138571893062,"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."}}