{"id":"W7156192528","doi":"10.35718/sepakat.v4i5.8481573","title":"KOLABORASI MULTIDISIPLIN UNTUK PENGEMBANGAN LINGKUNGAN RT: PEMETAAN, DAN INFRASTRUKTUR","year":2025,"lang":"","type":"article","venue":"Seminar Nasional Pengabdian Kepada Masyarakat (SEPAKAT)","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Handicraft","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002013424,0.0008304181,0.0006453082,0.0006896944,0.001617512,0.004858748,0.001105827,0.001196264,0.02837429],"category_scores_gemma":[0.002271543,0.0004864193,0.0007090113,0.0007118779,0.000970014,0.003469966,0.00335856,0.001590903,0.01017488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217758,"about_ca_system_score_gemma":0.004480723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003796437,"about_ca_topic_score_gemma":0.005456764,"domain_scores_codex":[0.9975631,0.000585894,0.0001290918,0.0004127971,0.0008844397,0.0004246341],"domain_scores_gemma":[0.9974669,0.0006054334,0.0003172166,0.0004519951,0.0007409564,0.0004174706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001488382,0.0008460926,0.01113144,0.003090716,0.0001279807,0.001271408,0.008802945,0.004909507,0.2217048,0.04215876,0.02651975,0.6779482],"study_design_scores_gemma":[0.00008968782,0.002380255,0.01837965,0.0006770492,0.0003058317,0.00203539,0.008821663,0.006213739,0.1716334,0.01672463,0.7725458,0.0001929264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3688356,0.02443137,0.2134446,0.01352753,0.001366223,0.001478915,0.00201032,0.006426091,0.3684794],"genre_scores_gemma":[0.6093045,0.01011313,0.07738353,0.001541292,0.0002038336,0.0007040073,0.001447302,0.0008694656,0.2984329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02837429,"threshold_uncertainty_score":0.09492141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007545994873375768,"score_gpt":0.2489956000122917,"score_spread":0.2414496051389159,"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."}}