{"id":"W2946717175","doi":"10.31983/link.v15i1.4109","title":"PENDAMPINGAN PEMBENTUKAN BANK SAMPAH DI KELURAHAN METESEH KECAMATAN TEMBALANG SEMARANG","year":2019,"lang":"id","type":"article","venue":"LINK","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science; Business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009410438,0.0005358989,0.0005580006,0.0001494344,0.0003461398,0.000333685,0.0009457684,0.0002619476,0.01080672],"category_scores_gemma":[0.00005235327,0.0004897887,0.0003167245,0.0005191099,0.0001743625,0.000551104,0.0009509116,0.0005665991,0.02188547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399378,"about_ca_system_score_gemma":0.00001773981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000332182,"about_ca_topic_score_gemma":0.0001212249,"domain_scores_codex":[0.9962689,0.0002434405,0.0006227253,0.001004176,0.0008085458,0.001052252],"domain_scores_gemma":[0.998215,0.000185003,0.0003058482,0.0009768498,0.00001330053,0.0003040103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003007741,0.0007970795,0.7274346,0.0018183,0.0008772589,0.000231669,0.007647024,0.004717973,0.1459358,0.001858696,0.01776279,0.09061804],"study_design_scores_gemma":[0.003708927,0.0007185321,0.5123144,0.00122183,0.0005343044,0.00003143894,0.004271779,0.03304628,0.01152417,0.0005244733,0.429019,0.003084833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876237,0.0006776507,0.0002888639,0.002136894,0.002869573,0.0011775,0.00003502565,0.0001856422,0.2050052],"genre_scores_gemma":[0.9297302,0.0002377958,0.0004928844,0.0003828995,0.000468792,0.00001118241,0.00008542616,0.00008206026,0.06850872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112562,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009196442253444627,"score_gpt":0.2167640266569237,"score_spread":0.2075675844034791,"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."}}