{"id":"W2891838859","doi":"10.35791/agrsosek.14.2.2018.20657","title":"FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN CABAI RAWIT DI KOTA TOMOHON","year":2018,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Employee Performance and Motivation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pepper; Quarter (Canadian coin); Agricultural science; Agricultural economics; Economics; Toxicology; Chemistry; Environmental science; Food science; Geography; Biology; Archaeology","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":[],"category_scores_codex":[0.0003645172,0.0003625343,0.0003268599,0.0002906819,0.0005692739,0.0004027569,0.0004723379,0.0001604491,0.0008460623],"category_scores_gemma":[0.00009137634,0.0003201316,0.0001542624,0.00042263,0.0001307668,0.002183638,0.0003159581,0.0002278921,0.004032027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104758,"about_ca_system_score_gemma":0.00004533283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835017,"about_ca_topic_score_gemma":0.0009186419,"domain_scores_codex":[0.998074,0.0000144896,0.0004543952,0.0005586004,0.0002889906,0.0006095506],"domain_scores_gemma":[0.9988275,0.00004652402,0.0002818023,0.0005426468,0.0002573685,0.0000441359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004095233,0.000468555,0.7362733,0.000485124,0.0002162521,0.0000319783,0.001781195,0.00005838294,0.02996067,0.01471109,0.1545324,0.0610715],"study_design_scores_gemma":[0.00146432,0.0001141755,0.5318692,0.0001489918,0.0001318188,0.000005879692,0.0004234656,0.001603711,0.004699124,0.0004198391,0.4582171,0.0009023762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687312,0.00005367713,0.0001223694,0.001023423,0.001597872,0.0004135412,0.000004737723,0.0002978598,0.02775529],"genre_scores_gemma":[0.9863064,0.0000232617,0.0001013083,0.002219979,0.008706215,0.00005270606,0.0001111576,0.00006944419,0.002409558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3036848,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711039446924412,"score_gpt":0.2193959192852584,"score_spread":0.2022855248160143,"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."}}