{"id":"W4286248888","doi":"10.24252/msa.v10i1.29869","title":"Proyeksi Produksi Padi Kabupaten Pinrang Dengan Metode Singular Spectrum Analysis","year":2022,"lang":"en","type":"article","venue":"Jurnal MSA ( Matematika dan Statistika serta Aplikasinya )","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Production (economics); Mathematics; Statistics; Quarter (Canadian coin); Agricultural science; Population; Value (mathematics); Yield (engineering); Agricultural economics; Environmental science; Geography; Economics; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0004990282,0.0006703051,0.0004146109,0.001276928,0.0002784859,0.001017261,0.0002813736,0.0002452589,0.004099968],"category_scores_gemma":[0.0009740466,0.0001598965,0.0003212218,0.001140598,0.0002501441,0.0008380046,0.0003972427,0.0004152012,0.0008968752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683622,"about_ca_system_score_gemma":0.0005076332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0039836,"about_ca_topic_score_gemma":0.00471847,"domain_scores_codex":[0.9997651,0.00003274183,0.00001304327,0.0000483227,0.0001189679,0.00002189621],"domain_scores_gemma":[0.9996536,0.0001075237,0.00005472004,0.0000324126,0.0001327329,0.00001905083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005437596,0.0001626584,0.04096212,0.0006484903,0.0001444252,0.001062581,0.0004925683,0.07712354,0.0548804,0.007598844,0.004166121,0.8122145],"study_design_scores_gemma":[0.00002615397,0.000634532,0.1394035,0.0002014892,0.000192553,0.001285244,0.001360357,0.7345214,0.06925698,0.01338546,0.03958809,0.0001442928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6923311,0.00326067,0.2772677,0.0006489631,0.0003491498,0.0001306373,0.001794365,0.001361549,0.02285592],"genre_scores_gemma":[0.9140248,0.001577514,0.07232928,0.00003844506,0.00004165621,0.0000415231,0.0009553407,0.00008541287,0.010906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004099968,"threshold_uncertainty_score":0.01371574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216179259707606,"score_gpt":0.2257910066691955,"score_spread":0.2136292140721195,"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."}}