{"id":"W4206684870","doi":"10.31227/osf.io/356rd","title":"Analisis jaringan distribusi air bersih di waigo Sorong Selatan","year":2019,"lang":"id","type":"preprint","venue":"","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; Forestry; Physics; Geography; Art","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":[0.0004204724,0.0003717366,0.0003962698,0.001742783,0.0008394183,0.001672992,0.0002597876,0.0004088705,0.01045643],"category_scores_gemma":[0.000571074,0.0001784878,0.0002934982,0.002217005,0.000356218,0.0005683887,0.000516739,0.0004878569,0.002692948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610801,"about_ca_system_score_gemma":0.0006978734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322644,"about_ca_topic_score_gemma":0.05237845,"domain_scores_codex":[0.9993972,0.00004903108,0.00003593512,0.0001494117,0.0002601739,0.0001082091],"domain_scores_gemma":[0.9992529,0.0001494627,0.00007083465,0.00003609471,0.0004325566,0.00005818093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002070777,0.0005050565,0.5050592,0.001770308,0.0003267277,0.00214003,0.01090859,0.001427043,0.2889603,0.001488052,0.005627798,0.1797162],"study_design_scores_gemma":[0.00001910898,0.0005143036,0.8343827,0.0001472401,0.0001765068,0.0008685713,0.01836808,0.00141834,0.08235243,0.0004877014,0.06122324,0.00004173526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728593,0.0009017375,0.001541131,0.0001026777,0.00004417077,0.00007904765,0.00325273,0.00007767887,0.02114144],"genre_scores_gemma":[0.9591365,0.001080976,0.003942031,0.0001151519,0.00001515145,0.00005942602,0.003185049,0.000120803,0.03234482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02322644,"threshold_uncertainty_score":0.04618251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337149864742115,"score_gpt":0.2054641766941062,"score_spread":0.197127026829364,"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."}}