{"id":"W4392732233","doi":"10.36040/semsina.v4i2.8022","title":"EVALUASI PEMANFAATAN RUANG BERBASIS SISTEM INFORMASI GEOGRAFIS DENGAN MENGANALISIS PERUBAHAN PENGGUNAAN LAHAN TERHADAP RENCANA TATA RUANG","year":2024,"lang":"id","type":"article","venue":"Prosiding SEMSINA","topic":"Edcuational Technology Systems","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":[0.005649294,0.0005432785,0.0005009386,0.00117857,0.001731329,0.005627538,0.0005465809,0.0006975403,0.03028034],"category_scores_gemma":[0.007272166,0.0002560872,0.0005067002,0.001755536,0.001115324,0.003194251,0.001998204,0.001235881,0.003848685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003198949,"about_ca_system_score_gemma":0.005115782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205898,"about_ca_topic_score_gemma":0.02768197,"domain_scores_codex":[0.9966218,0.001437647,0.0001383399,0.0003760616,0.001096621,0.0003295667],"domain_scores_gemma":[0.9937971,0.002295127,0.000381835,0.0004220313,0.00264974,0.0004542621],"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":[0.002058473,0.002437176,0.1582153,0.004382723,0.0003846403,0.0009155174,0.07292118,0.004900129,0.01489499,0.03994215,0.04474581,0.654202],"study_design_scores_gemma":[0.0001826091,0.003220012,0.2894136,0.002156663,0.0007022865,0.0003229507,0.1538005,0.004727042,0.02104708,0.01281361,0.5114092,0.0002044127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6948378,0.002961193,0.01095831,0.004119008,0.0002259014,0.001424112,0.002847104,0.000439457,0.2821871],"genre_scores_gemma":[0.8964767,0.002297816,0.0105344,0.0005398506,0.00004472726,0.001150297,0.001698047,0.0001465753,0.0871115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03028034,"threshold_uncertainty_score":0.1012979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004967099011579,"score_gpt":0.2835316536007074,"score_spread":0.2534819826105916,"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."}}