{"id":"W2908186035","doi":"10.29122/jstmc.v14i2.2685","title":"USULAN PEMANFAATAN TEKNOLOGI MODIFIKASI CUACA DENGAN GROUND-BASED GENERATOR UNTUK MENAMBAH DEBIT ALIRAN SUNGAI MAMASA, SULAWESI","year":2013,"lang":"id","type":"article","venue":"Jurnal Sains & Teknologi Modifikasi Cuaca","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Physics; Environmental science; Geography","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":[0.0006415735,0.0006724451,0.000655019,0.0008012154,0.0007431241,0.00192111,0.0007594412,0.0009076111,0.01581093],"category_scores_gemma":[0.000985012,0.0003767774,0.0005041766,0.0007639803,0.00058937,0.001567812,0.0009315654,0.0009718923,0.005055046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008423316,"about_ca_system_score_gemma":0.001019561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024786,"about_ca_topic_score_gemma":0.00424364,"domain_scores_codex":[0.9994104,0.00006254972,0.00002883169,0.0001274376,0.0002825917,0.00008825519],"domain_scores_gemma":[0.9991823,0.0001711576,0.00009077672,0.000115702,0.0003803843,0.00005962958],"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":[0.001271902,0.0002718581,0.01964092,0.002324912,0.0001625365,0.001380166,0.001056739,0.01320812,0.4380234,0.01361609,0.02166901,0.4873744],"study_design_scores_gemma":[0.0001861724,0.001799877,0.03969131,0.0004364206,0.0005049081,0.002538294,0.002184443,0.03382578,0.39511,0.01117405,0.5123023,0.0002462801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4226322,0.01593839,0.3508298,0.00398866,0.002648023,0.0008760028,0.002373483,0.008326273,0.1923871],"genre_scores_gemma":[0.8694193,0.004045753,0.02984734,0.0007517974,0.0002246136,0.0002403601,0.001274791,0.0006023218,0.0935938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581093,"threshold_uncertainty_score":0.05289286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934250220242222,"score_gpt":0.2254893766552769,"score_spread":0.2061468744528547,"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."}}