{"id":"W4413515721","doi":"10.64628/aan.9gdpk6yrm","title":"Ahli: 3 solusi untuk kurangi sampah makanan","year":2020,"lang":"id","type":"article","venue":"","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001821834,0.0002855195,0.0002764821,0.00003414874,0.0002519067,0.0001545866,0.000548045,0.0001138079,0.03306644],"category_scores_gemma":[0.00002965723,0.0002449794,0.000169298,0.000468539,0.0001908294,0.0002566704,0.0008642828,0.0002206777,0.02548031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008150879,"about_ca_system_score_gemma":0.00000869653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002557179,"about_ca_topic_score_gemma":0.0001133428,"domain_scores_codex":[0.9979111,0.00006499294,0.0003422458,0.0006119509,0.0004777235,0.0005919774],"domain_scores_gemma":[0.9992156,0.000037009,0.00009528562,0.0002880738,0.000004711271,0.0003592892],"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":[0.0002381946,0.0006803154,0.06617341,0.0006114203,0.000516007,0.0003794283,0.01003768,0.006146905,0.05631824,0.004766991,0.736444,0.1176874],"study_design_scores_gemma":[0.001485607,0.0003848072,0.02546393,0.00007191362,0.0002039907,0.000003783272,0.003970694,0.02981753,0.005786361,0.00022955,0.9313796,0.001202294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1007747,0.0004325332,0.006076939,0.03763831,0.00116619,0.0007765131,0.00001375518,0.00026232,0.8528588],"genre_scores_gemma":[0.9154828,0.0002279732,0.001193067,0.005919256,0.0002789593,0.000004033537,0.00001100525,0.00003689155,0.07684597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8147082,"threshold_uncertainty_score":0.9989969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684042215991323,"score_gpt":0.210612996357758,"score_spread":0.1837725741978447,"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."}}