{"id":"W7049524961","doi":"","title":"Episode 135: RENT","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; State (computer science); Race (biology); Pandemic; Quarter (Canadian coin)","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":[0.0003935236,0.0004881058,0.0003422569,0.0007170704,0.003280556,0.002719486,0.0008536307,0.003033121,0.4835359],"category_scores_gemma":[0.001874342,0.0002625455,0.0003896213,0.0006250267,0.0002845415,0.001299286,0.002393612,0.003024601,0.2110614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002292507,"about_ca_system_score_gemma":0.001849316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06368347,"about_ca_topic_score_gemma":0.1223104,"domain_scores_codex":[0.999431,0.00004196841,0.00002189503,0.00005659383,0.0002104373,0.0002381097],"domain_scores_gemma":[0.9993917,0.00003815757,0.00003432101,0.00005257982,0.0002537866,0.0002295324],"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":[0.00004304011,0.00002342582,0.0006301152,0.0000339397,0.000001818578,0.000240881,0.0000953948,0.00001336138,0.000116651,0.001663315,0.9890748,0.008063266],"study_design_scores_gemma":[0.00001065143,0.00001423425,0.003160953,0.00004301894,0.000001388934,0.0000939474,0.0001458171,0.00003951862,0.00008044702,0.0003008697,0.9961044,0.00000481937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003590902,0.0005055326,0.0002335087,0.008550839,0.003712367,0.0004359398,0.02555697,0.001121905,0.9562922],"genre_scores_gemma":[0.01385066,0.0002257314,0.00008109878,0.007406066,0.0008125897,0.0001509964,0.007249857,0.0003005608,0.9699223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5164641,"threshold_uncertainty_score":0.7366733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003802313013380498,"score_gpt":0.167157712648072,"score_spread":0.1633553996346915,"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."}}