{"id":"W2542462541","doi":"10.3968/8754","title":"The Applications of Low-Cost Landscape in Traditional Village Design","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Sustainable Urban and Rural Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscape design; Environmental resource management; Landscape assessment; Hard landscape materials; Architectural engineering; Geography; Environmental planning; Environmental science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048001,0.0003134622,0.0001454839,0.0008113675,0.001232552,0.001903517,0.0006615802,0.0004834001,0.006529348],"category_scores_gemma":[0.001232194,0.000184284,0.000269161,0.0007996655,0.002901259,0.00212611,0.001770234,0.000485693,0.0004027685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433043,"about_ca_system_score_gemma":0.0004994315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854194,"about_ca_topic_score_gemma":0.004627943,"domain_scores_codex":[0.9993628,0.0003483192,0.00001800817,0.00005639903,0.0001575172,0.00005709585],"domain_scores_gemma":[0.9995419,0.0001768088,0.00003829887,0.00007916608,0.0001209559,0.00004292953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004087602,0.00004922856,0.003945149,0.0003922046,0.00001533241,0.0004895573,0.006640829,0.006540042,0.004722124,0.7636721,0.003001022,0.2104915],"study_design_scores_gemma":[0.00003350921,0.0003461598,0.01809514,0.0004507487,0.00006044015,0.002340574,0.009883936,0.02302577,0.006224881,0.5823982,0.3570611,0.00007955626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641275,0.002895313,0.4175199,0.003608419,0.0001700719,0.0001360472,0.00005942347,0.0002408063,0.4112426],"genre_scores_gemma":[0.925298,0.0008752827,0.06273438,0.0001636955,0.00003854002,0.00006490507,0.00002612786,0.00004694559,0.01075222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006529348,"threshold_uncertainty_score":0.0218429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404006475203707,"score_gpt":0.2528304605929535,"score_spread":0.2287903958409164,"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."}}