{"id":"W2957152825","doi":"10.35791/agrsosek.15.1.2019.23585","title":"KONTRIBUSI USAHATANI KELAPA TERHADAP PENDAPATAN KELUARGA DI DESA KLABAT KECAMATAN DIMEMBE KABUPATEN MINAHASA UTARA","year":2019,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Agricultural and Environmental Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agricultural science; Agriculture; Business; Family income; Descriptive statistics; Household income; Agricultural economics; Socioeconomics; Geography; Mathematics; Economics; Economic growth; Statistics; Biology","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":[0.0004901995,0.0004594469,0.000493428,0.00008085871,0.0007412247,0.0002888418,0.0009754103,0.0002314351,0.004059165],"category_scores_gemma":[0.00003343013,0.000347967,0.0002430944,0.0003605457,0.0002780339,0.001006046,0.0005453543,0.000288636,0.003820295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007293979,"about_ca_system_score_gemma":0.00004913287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005643799,"about_ca_topic_score_gemma":0.001754387,"domain_scores_codex":[0.9966944,0.0001860068,0.0005101335,0.0008384952,0.0006870467,0.00108394],"domain_scores_gemma":[0.9986019,0.000136927,0.0002504802,0.0005619602,0.00004342115,0.0004053591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004372782,0.001596894,0.8078285,0.0002460886,0.0006282176,0.0002240559,0.0245221,0.001038689,0.02416112,0.0375983,0.03540022,0.06631846],"study_design_scores_gemma":[0.001130124,0.0002721459,0.6137831,0.00008220891,0.0001247583,0.000006982413,0.01018512,0.0001773937,0.0011629,0.0004208064,0.3715378,0.001116729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440809,0.0002316104,0.00002991386,0.002216518,0.001027581,0.001106086,0.00004704043,0.0002067317,0.05105359],"genre_scores_gemma":[0.984262,0.0004196025,0.0001346853,0.0003465842,0.0004538826,0.00006914608,0.0001578542,0.00003544462,0.01412084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3361376,"threshold_uncertainty_score":0.9998972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009858471012757835,"score_gpt":0.2238858705009592,"score_spread":0.2140273994882014,"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."}}