{"id":"W4392291557","doi":"10.18280/ijdne.190117","title":"Varietal Diversity and Nutritional Analysis of Sago Starch (Metroxylon Sago Rottb) in Kainui, Papua","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Food and Agricultural Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Starch; Ingredient; Pith; Mathematics; Horticulture; Food science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004971399,0.00009798434,0.0002120264,0.0001637886,0.0001027659,0.00009793821,0.0002769149,0.000120462,0.000063352],"category_scores_gemma":[0.00004782145,0.0000387404,0.0001345,0.0007160511,0.00007450693,0.00035265,0.0001652813,0.0003055466,3.605927e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004965119,"about_ca_system_score_gemma":0.00001356561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276604,"about_ca_topic_score_gemma":0.000711413,"domain_scores_codex":[0.9989154,0.00005773453,0.0002833128,0.0001655958,0.0004554976,0.0001224039],"domain_scores_gemma":[0.9992349,0.0003767878,0.0001239832,0.00001547178,0.0001772316,0.00007169232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00159997,0.0009309766,0.6239809,0.00008651499,0.00462687,0.0007674494,0.003393956,0.002919895,0.1542145,0.0183272,0.0009738798,0.1881778],"study_design_scores_gemma":[0.000255962,0.0005807081,0.9769819,0.0001313706,0.000205915,0.00009487748,0.0005916446,0.0134754,0.0002364504,0.006606719,0.0006586132,0.0001803932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956186,0.00212564,0.00009922327,0.00170256,0.0002540127,0.00005025025,0.00008907134,0.000005494482,0.00005508685],"genre_scores_gemma":[0.9984497,0.0008715292,0.0003947461,0.00007619896,0.0001529395,4.913446e-7,0.00002731734,4.412975e-7,0.00002668215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.353001,"threshold_uncertainty_score":0.1579788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392524421957993,"score_gpt":0.2349632765870211,"score_spread":0.2210380323674412,"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."}}