{"id":"W7150854021","doi":"10.14457/stou.the.2020.87","title":"ปจจยทมอทธพลตอราคากงหนาฟารมในประเทศไทย: การศกษาเชงประจกษดวยวธการทางอนกรมเวลา","year":2020,"lang":"","type":"dataset","venue":"NRCT Data Center","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrimp; Production (economics); Shrimp farming; Consumption (sociology); Decapoda","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00134455,0.0007179761,0.0004612845,0.001235439,0.002015436,0.006284001,0.001083621,0.001452967,0.507921],"category_scores_gemma":[0.003705909,0.0003366917,0.0005579846,0.001375535,0.0008551161,0.003052128,0.002102033,0.0015969,0.3836432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757638,"about_ca_system_score_gemma":0.002551594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418662,"about_ca_topic_score_gemma":0.002767517,"domain_scores_codex":[0.9988438,0.0002200672,0.00008637415,0.0002914241,0.0003814842,0.0001768568],"domain_scores_gemma":[0.9979926,0.0001834661,0.0001357044,0.0002220736,0.001151525,0.000314563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002547621,0.0001357844,0.004132531,0.0005800541,0.00003987856,0.0003568021,0.0005975138,0.0006912164,0.001280859,0.03856537,0.6247135,0.3286518],"study_design_scores_gemma":[0.00002798495,0.00004394261,0.002050086,0.0001464237,0.00001399047,0.0002589048,0.0004398403,0.0005380645,0.0005676369,0.003748759,0.9921395,0.00002484925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01087812,0.002416458,0.009857437,0.01060796,0.008448878,0.0007131682,0.005070485,0.001851986,0.9501556],"genre_scores_gemma":[0.05612262,0.002679958,0.005475082,0.002260051,0.001351847,0.0003613989,0.004236902,0.0003308527,0.9271812],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.507921,"threshold_uncertainty_score":0.7018909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068677343045428,"score_gpt":0.3341569188349658,"score_spread":0.227289184530423,"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."}}