{"id":"W3010621598","doi":"10.12962/j2716179x.v11i1.5212","title":"Technology Foresight Analysis Sebagai Metodologi Dalam Pertimbangan Pengembangan Kawasan Cagar Budaya","year":2016,"lang":"ms","type":"article","venue":"Jurnal Penataan Ruang","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; Futures studies; Philosophy; Computer 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008266279,0.0008338601,0.001093724,0.0004383504,0.0009510323,0.0003225653,0.001673576,0.0006201622,0.003785849],"category_scores_gemma":[0.0002287115,0.0002797939,0.0008215624,0.003667772,0.0004178385,0.0006693703,0.0009630627,0.0004882186,0.0008302587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233395,"about_ca_system_score_gemma":0.00004107404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002381195,"about_ca_topic_score_gemma":0.002215783,"domain_scores_codex":[0.9949282,0.0003098931,0.001014666,0.001375984,0.000860751,0.001510478],"domain_scores_gemma":[0.9978877,0.0003307091,0.0006182588,0.0003825336,0.0003119176,0.0004688944],"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":[0.0003121334,0.0008538815,0.209395,0.0001252261,0.006798703,0.0007448391,0.0006864984,0.00002757888,0.2691267,0.01629696,0.0802011,0.4154314],"study_design_scores_gemma":[0.0009035005,0.0009814837,0.7735476,0.0002324022,0.002053417,0.00005037277,0.002328975,0.00005733172,0.0144003,0.001423375,0.202292,0.001729158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483957,0.001805472,0.000153069,0.04115178,0.0008782196,0.0008212388,0.0001136729,0.0003459353,0.006334884],"genre_scores_gemma":[0.9524781,0.001390831,0.0003231548,0.0003798331,0.0008014735,0.0000596277,0.0001855254,0.00001015296,0.04437127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641526,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823775696273075,"score_gpt":0.2193467968212909,"score_spread":0.2011090398585601,"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."}}