{"id":"W2787559310","doi":"10.5539/jas.v10n3p111","title":"Satisfaction Levels of Insured Apricot Producers towards Agricultural Insurance Services","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Customer satisfaction; Likert scale; Business; Marketing; Structural equation modeling; Production (economics); Agriculture; Agricultural science; Economics; Mathematics; Finance; Statistics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006528143,0.0001103085,0.000175879,0.0003214678,0.0003406131,0.0005863495,0.0001070222,0.0002651656,0.002909311],"category_scores_gemma":[0.002446156,0.00006923801,0.0002104137,0.0003508292,0.0002460775,0.0002182949,0.0002965896,0.0003037908,0.0001902661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026218,"about_ca_system_score_gemma":0.0002210428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385134,"about_ca_topic_score_gemma":0.0028484,"domain_scores_codex":[0.9994377,0.0001612668,0.00004242205,0.00005363458,0.0001954968,0.0001094602],"domain_scores_gemma":[0.9983646,0.000351822,0.0006563473,0.00003693096,0.0002917792,0.000298469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597376,0.0001499618,0.9875153,0.00003045957,0.00002864284,0.0003029697,0.002920185,0.0001005331,0.002038057,0.00004894334,0.000195714,0.006509422],"study_design_scores_gemma":[0.000003668765,0.0003037229,0.9905353,0.000007548537,0.00001081841,0.0002070841,0.007946476,0.000287764,0.0002177616,0.00002366278,0.0004493585,0.000006653738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995746,0.00002173792,0.0000339644,0.00002759228,0.000001117385,0.000003118585,0.00003429934,6.176031e-7,0.0003029938],"genre_scores_gemma":[0.9995763,0.00003209645,0.00004411777,0.00001940326,0.000001574398,0.000003334148,0.00005899906,3.692588e-7,0.000263963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909311,"threshold_uncertainty_score":0.009732604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395583307606207,"score_gpt":0.2560022574161212,"score_spread":0.2320464243400591,"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."}}