{"id":"W4403796825","doi":"10.59810/archimane.v2i2.53","title":"Menilik Perubahan Kerapatan Vegetasi di Kota Batu (Komparasi Tahun Pengamatan 2018 dan 2020)","year":2024,"lang":"id","type":"article","venue":"Journal of Architecture and Human Experience","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"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":[0.0002884359,0.0003084501,0.0002147032,0.0006623719,0.0005271052,0.001243825,0.0002749125,0.0002919883,0.009358534],"category_scores_gemma":[0.0005124523,0.0001591451,0.0003033972,0.001604419,0.0002708908,0.001006811,0.0008439735,0.0005718223,0.001553971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101799,"about_ca_system_score_gemma":0.001467243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04401563,"about_ca_topic_score_gemma":0.09509974,"domain_scores_codex":[0.9998131,0.00002838755,0.000007539786,0.0000388872,0.00005767284,0.00005443203],"domain_scores_gemma":[0.9996585,0.00005031187,0.0000568474,0.00002195208,0.0001707496,0.00004166079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007097937,0.0001944499,0.5312327,0.002898905,0.000395221,0.002974848,0.01132026,0.001547199,0.03788235,0.008795735,0.04758472,0.3544639],"study_design_scores_gemma":[0.0000181858,0.0001194363,0.7219618,0.0002217247,0.00009474561,0.0005073547,0.01084755,0.0006466684,0.003582299,0.000678423,0.2612827,0.0000390337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.871598,0.005026897,0.004063457,0.002829687,0.0001251498,0.0001598854,0.01820537,0.0005373585,0.0974543],"genre_scores_gemma":[0.9291251,0.004041213,0.006073231,0.0005141826,0.00005017762,0.0002260298,0.0132123,0.0001232194,0.04663454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04401563,"threshold_uncertainty_score":0.08751887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252347047749668,"score_gpt":0.2641427834978686,"score_spread":0.2516193130203719,"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."}}