{"id":"W2908492290","doi":"10.29122/jstmc.v12i1.2185","title":"POTENSI ATMOSFER DALAM PEMBENTUKAN AWAN KONVEKTIF PADA PELAKSANAAN TEKNOLOGI MODIFIKASI CUACA DI DAS KOTOPANJANG DAN DAS SINGKARAK 2010","year":2011,"lang":"id","type":"article","venue":"Jurnal Sains & Teknologi Modifikasi Cuaca","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Environmental science; Precipitable water; Forestry; Precipitation; Meteorology; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001415974,0.002711195,0.003025515,0.0004694001,0.003688317,0.0006278191,0.003478139,0.002103576,0.002404373],"category_scores_gemma":[0.001063253,0.002042375,0.001522401,0.001790662,0.003614571,0.001246164,0.001333317,0.004995094,0.003569003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237155,"about_ca_system_score_gemma":0.0003495091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076648,"about_ca_topic_score_gemma":0.008489463,"domain_scores_codex":[0.9856302,0.001577312,0.002564166,0.003543444,0.00168579,0.004999158],"domain_scores_gemma":[0.9930353,0.0009211943,0.001346729,0.002137244,0.0006776641,0.001881838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001695318,0.002794666,0.8932545,0.0002499697,0.001712788,0.003434763,0.004928905,0.001580597,0.001489479,0.003260991,0.003327352,0.08227067],"study_design_scores_gemma":[0.002039691,0.004054106,0.9439339,0.0001978775,0.0006577822,0.0004461804,0.002788896,0.01812282,0.0008900222,0.004111707,0.01983486,0.002922139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554837,0.008340338,0.0001818904,0.003255487,0.004058186,0.001690419,0.00042103,0.0008593219,0.02570957],"genre_scores_gemma":[0.9822976,0.00305711,0.001029599,0.001046672,0.001602434,0.00005144451,0.000401579,0.0001040122,0.01040953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07934853,"threshold_uncertainty_score":0.9991919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298659180255566,"score_gpt":0.2405611498679064,"score_spread":0.1975745580653507,"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."}}