{"id":"W7064748751","doi":"","title":"02 Cleaning Up The City (YTV's Pretty Cure, Rare Canadian English Dub 2009)","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indian ocean","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":[],"category_scores_codex":[0.000462544,0.000547051,0.0003610095,0.0009269243,0.00955958,0.004302429,0.001078069,0.002207035,0.4315968],"category_scores_gemma":[0.002082675,0.000426214,0.0003293178,0.001280263,0.0007694594,0.001358047,0.002843026,0.002710172,0.1281158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009795636,"about_ca_system_score_gemma":0.01667062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8594321,"about_ca_topic_score_gemma":0.9634666,"domain_scores_codex":[0.9989938,0.00002871334,0.00001647976,0.00006317734,0.0005120604,0.0003857659],"domain_scores_gemma":[0.9988322,0.00002874831,0.00002609976,0.00005323964,0.0007502401,0.0003095443],"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":[0.00001043342,0.000005786065,0.0001864566,0.00002139392,6.319319e-7,0.00007337632,0.0002394849,0.000007359023,0.0001365004,0.0008426973,0.990003,0.00847296],"study_design_scores_gemma":[0.000001313636,0.000002155829,0.001037528,0.00001568461,4.87764e-7,0.00002861961,0.0003836546,0.000005738547,0.0000804555,0.00004501642,0.998395,0.000004291085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003283702,0.001465065,0.0003097912,0.01033152,0.00353223,0.0001326526,0.01313316,0.00115437,0.9666575],"genre_scores_gemma":[0.003955413,0.0002468227,0.0001290918,0.0008570451,0.00006700824,0.00001194223,0.001690396,0.0003740172,0.9926683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4315968,"threshold_uncertainty_score":0.8107581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0050720883849696,"score_gpt":0.1739499082115525,"score_spread":0.1688778198265829,"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."}}