{"id":"W2953544160","doi":"10.35799/jm.7.1.2018.18912","title":"Pemetaan Distribusi Petir Untuk Wilayah Manado Tahun 2013 Dan 2014","year":2018,"lang":"id","type":"article","venue":"Jurnal MIPA","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Microsoft excel; Lightning (connector); Remote sensing; Geography; Computer science; Operating system; Physics","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":[0.0007175184,0.0003918764,0.0004204966,0.001113004,0.001415512,0.002353572,0.0006694369,0.0004381746,0.0348336],"category_scores_gemma":[0.001580743,0.0003025029,0.000409215,0.002195165,0.0004113957,0.001252828,0.001366246,0.001115267,0.007696051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475553,"about_ca_system_score_gemma":0.004609828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06398501,"about_ca_topic_score_gemma":0.108117,"domain_scores_codex":[0.9993357,0.00003655555,0.00002886106,0.0001208281,0.0003425513,0.000135586],"domain_scores_gemma":[0.998733,0.0001255572,0.0001142922,0.0001046611,0.0007216088,0.0002009303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001605074,0.0004368277,0.1295768,0.001627688,0.0001415109,0.002663437,0.007821415,0.001602216,0.01938232,0.01153506,0.2445219,0.5790857],"study_design_scores_gemma":[0.00003296738,0.0001603304,0.1311184,0.0001582973,0.00005007389,0.0003169742,0.006150187,0.0004979497,0.006145584,0.0006747905,0.8546458,0.00004857379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4799109,0.005816265,0.01325971,0.006787668,0.001780883,0.0008907411,0.07421422,0.004095338,0.4132444],"genre_scores_gemma":[0.5031487,0.005036884,0.01354718,0.001007652,0.0002743578,0.0006144646,0.03090403,0.001077102,0.4443897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06398501,"threshold_uncertainty_score":0.1272251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173182568218109,"score_gpt":0.2239389882400827,"score_spread":0.2122071625579016,"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."}}