{"id":"W7066104087","doi":"","title":"Existing Conditions Assessment Report","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Data collection; Service (business); Geographic information system; Information system; Environmental impact assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006582284,0.001367432,0.0006708269,0.009898699,0.003026479,0.006386635,0.003348647,0.001657107,0.1214872],"category_scores_gemma":[0.01711449,0.0007394344,0.001102358,0.009152811,0.0007128046,0.003657142,0.002562137,0.002336117,0.04402354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009041787,"about_ca_system_score_gemma":0.03346278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1828475,"about_ca_topic_score_gemma":0.1497364,"domain_scores_codex":[0.9862838,0.001179028,0.0007595679,0.0007741894,0.009596684,0.001406769],"domain_scores_gemma":[0.9699357,0.001757571,0.0008550802,0.001119816,0.02489671,0.001435202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002558761,0.0003144939,0.01302972,0.0007371313,0.00003983414,0.0002915919,0.0005528368,0.002193256,0.0005840274,0.01844329,0.8399932,0.1235646],"study_design_scores_gemma":[0.00002352267,0.00008839254,0.01878721,0.0005456788,0.000033506,0.0001118526,0.001021792,0.0005529757,0.0004241756,0.00156017,0.9767951,0.00005558555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008793009,0.001577385,0.005623054,0.00341134,0.001342698,0.002913815,0.2143584,0.001558641,0.7604217],"genre_scores_gemma":[0.09549809,0.006138865,0.02214721,0.002572474,0.0006300173,0.007178776,0.4122915,0.00126456,0.4522784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1828475,"threshold_uncertainty_score":0.4064153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146105221247723,"score_gpt":0.2419163054641867,"score_spread":0.2304552532517095,"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."}}