{"id":"W7027892469","doi":"","title":"Dum Dums - S02 E16 Project: Under Gardiner","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005061536,0.0004458717,0.0005445665,0.0002967162,0.00008783878,0.000212817,0.001431714,0.0004385819,0.4010383],"category_scores_gemma":[0.0002490413,0.0003611383,0.0001954578,0.00002994585,0.0001860956,8.325342e-7,0.0004696732,0.0003187145,0.04368416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008732631,"about_ca_system_score_gemma":0.0001667476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508007,"about_ca_topic_score_gemma":0.0001356935,"domain_scores_codex":[0.9968661,0.000195362,0.0008086651,0.0004426746,0.001137184,0.0005499998],"domain_scores_gemma":[0.9974684,0.0002095774,0.0006663967,0.001064307,0.0003983154,0.000193045],"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":[0.00001417798,0.00004114793,4.223648e-7,0.0001894449,0.00007446228,0.0000196741,0.0000503247,0.0001944758,1.969191e-7,0.0008696083,0.9949423,0.003603765],"study_design_scores_gemma":[0.0006270216,0.00008074485,0.000002560081,0.0001860356,0.00001984699,0.0000712696,0.00001732024,0.001024341,0.000006551008,0.00005675137,0.9974751,0.0004324516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.475508e-7,0.0001702043,0.002448649,0.0006377295,0.0006429318,0.0007643708,0.00009751021,0.0004269102,0.9948115],"genre_scores_gemma":[0.00001383417,0.0003580568,0.03161393,0.0003155229,0.0002532663,0.00004104626,0.00005930189,0.000138782,0.9672062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3573542,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099736268798992,"score_gpt":0.2272728513831559,"score_spread":0.2162754886951659,"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."}}