{"id":"W3088864553","doi":"10.30736/je.v5i2.513","title":"Pemanfaatan Quantum GIS Cloud Untuk Pemetaan Polygon Area Kandang Peternakan di Wilayah Kabupaten Probolinggo","year":2020,"lang":"en","type":"article","venue":"JE-UNISLA","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Livestock; Animal husbandry; Agricultural science; Geography; Geographic information system; Business; Cartography; Forestry; Agriculture; Environmental science","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"],"consensus_categories":[],"category_scores_codex":[0.00061002,0.0005100853,0.0007089921,0.0002057917,0.0003290298,0.0005707663,0.002477552,0.00019757,0.00005606296],"category_scores_gemma":[0.0003409377,0.00046959,0.0002622072,0.000833407,0.0001212848,0.0006515809,0.0007619235,0.0006660669,0.0005619071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051413,"about_ca_system_score_gemma":0.000185713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005978133,"about_ca_topic_score_gemma":0.00004589687,"domain_scores_codex":[0.9958259,0.0003761066,0.0007462878,0.001191773,0.0009658194,0.0008941076],"domain_scores_gemma":[0.9972755,0.0002275274,0.0004633166,0.001333681,0.0001363112,0.0005636214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005702851,0.001583939,0.3579594,0.002684858,0.001766988,0.004235273,0.214188,0.01716552,0.1266314,0.1110687,0.08584218,0.07630345],"study_design_scores_gemma":[0.002042214,0.0007297775,0.01884901,0.000350304,0.00009080522,0.0001269219,0.0004502942,0.8987886,0.00480314,0.0004883797,0.07166465,0.001615952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7935876,0.0007000932,0.1787219,0.01255932,0.003977898,0.001416016,0.00005506334,0.00236886,0.006613192],"genre_scores_gemma":[0.9929637,0.00001968302,0.004530101,0.0004655782,0.001279504,0.00004856919,0.00003125178,0.00007883815,0.000582801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.881623,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521461943537012,"score_gpt":0.2428875684747994,"score_spread":0.2076729490394293,"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."}}