{"id":"W4320480916","doi":"10.29313/jpwk.v17i2.346","title":"Penggunaan Model SIG Dalam Analisis Fisik Lingkungan di Kota Metro","year":2023,"lang":"id","type":"article","venue":"Jurnal Perencanaan Wilayah dan Kota","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Art","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002459184,0.001258575,0.001480845,0.002034063,0.001279254,0.001198484,0.005991631,0.0009338184,0.00004491325],"category_scores_gemma":[0.0009303376,0.001291122,0.0007937262,0.00597461,0.0006313156,0.001425578,0.002104312,0.002122478,0.0008782031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945905,"about_ca_system_score_gemma":0.001546311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006882068,"about_ca_topic_score_gemma":0.001374339,"domain_scores_codex":[0.9898912,0.0006124073,0.002009856,0.002488621,0.002679462,0.002318496],"domain_scores_gemma":[0.9930632,0.0007109638,0.001086157,0.003299937,0.0008073304,0.001032397],"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":[0.0001688724,0.001343606,0.661045,0.0009038479,0.003205101,0.002537834,0.01177378,0.03962544,0.02437727,0.1260474,0.1083682,0.02060379],"study_design_scores_gemma":[0.001071011,0.000494675,0.1308872,0.0004698288,0.000248744,0.0001511938,0.001186776,0.8549594,0.001817969,0.00311467,0.003911328,0.001687255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679713,0.001101422,0.009923926,0.01105717,0.003232855,0.0008950816,0.000226584,0.001623173,0.003968483],"genre_scores_gemma":[0.9903858,0.0004966834,0.001214518,0.0004931186,0.001010031,0.00009762069,0.0001578204,0.0001764235,0.005967998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.815334,"threshold_uncertainty_score":0.9998997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770663637892889,"score_gpt":0.2874021691417776,"score_spread":0.2396955327628487,"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."}}