{"id":"W3088784850","doi":"10.20884/1.jmp.2017.9.2.2870","title":"METODE SSA PADA DATA PRODUKSI PERIKANAN TANGKAP DI PROVINSI JAWA BARAT","year":2017,"lang":"en","type":"article","venue":"Jurnal Ilmiah Matematika dan Pendidikan Matematika","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Fishery; Ton; Archipelagic state; Christian ministry; Consumption (sociology); Quarter (Canadian coin); Production (economics); Environmental science; Geography; Agricultural science; Statistics; Mathematics; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006455155,0.0005617284,0.0005325061,0.002004812,0.0002716504,0.001515568,0.000390419,0.0003345502,0.0154716],"category_scores_gemma":[0.00268642,0.0002860272,0.0004596947,0.002684901,0.0001202055,0.000944229,0.0004633792,0.0004906158,0.01040335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005755899,"about_ca_system_score_gemma":0.001008442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231879,"about_ca_topic_score_gemma":0.01443698,"domain_scores_codex":[0.9993007,0.00008549052,0.0001264853,0.0001543179,0.0002771922,0.00005575748],"domain_scores_gemma":[0.998648,0.0002418922,0.0001545123,0.0001238812,0.0007743377,0.00005739523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001589741,0.0005321484,0.2696579,0.002610204,0.0003511877,0.001743201,0.001095459,0.02419656,0.01379456,0.004848092,0.2578286,0.4217523],"study_design_scores_gemma":[0.0002119056,0.0002849484,0.4141251,0.0006229309,0.0001683559,0.001007372,0.002986235,0.09402909,0.02367244,0.003596473,0.4590948,0.000200388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2571617,0.001386457,0.02956031,0.00107982,0.0004464347,0.0004956056,0.6464238,0.007068943,0.05637691],"genre_scores_gemma":[0.4917618,0.001013804,0.03711514,0.0001458094,0.0001325031,0.00075207,0.4503647,0.0006098298,0.01810449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02231879,"threshold_uncertainty_score":0.05175769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030511270486789,"score_gpt":0.2853120272330824,"score_spread":0.2350069145282145,"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."}}