{"id":"W7018466225","doi":"","title":"Dum Dums - S02 E16 Project: Under Gardiner (Short)","year":2016,"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":"Downtown; Space (punctuation); Public space; Selection (genetic algorithm)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001268513,0.0007612174,0.0003865223,0.001100444,0.002259893,0.005915405,0.001005391,0.001767971,0.7076469],"category_scores_gemma":[0.00258818,0.0004088764,0.000360829,0.001225178,0.000693903,0.002314177,0.003470684,0.001295447,0.5880928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201856,"about_ca_system_score_gemma":0.003534175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202061,"about_ca_topic_score_gemma":0.04390401,"domain_scores_codex":[0.9990433,0.0001072808,0.00002065929,0.0001808645,0.0004287627,0.0002191704],"domain_scores_gemma":[0.9970783,0.0001290376,0.00007581666,0.0002315346,0.00111919,0.001366125],"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":[0.00004631114,0.0000205779,0.0001354713,0.00005016008,9.689911e-7,0.00003340158,0.00007975776,0.00001684108,0.0002235019,0.001849641,0.9726198,0.02492375],"study_design_scores_gemma":[0.00000391177,0.000009597095,0.0001287258,0.00001097161,3.353317e-7,0.0000134292,0.0000669017,0.00001015692,0.00009641859,0.00007703695,0.9995809,0.000001690431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007962054,0.000537853,0.001113712,0.00227599,0.001811344,0.0001939257,0.00497442,0.003583706,0.9847127],"genre_scores_gemma":[0.002264459,0.0001783888,0.000366154,0.0002506188,0.0001156835,0.00004262176,0.002069003,0.001047044,0.9936659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2923531,"threshold_uncertainty_score":0.4170062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009972637052361144,"score_gpt":0.216076161776696,"score_spread":0.2061035247243348,"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."}}