{"id":"W7028974074","doi":"","title":"GORMLEY - BELTON JOHNSON - FEBRUARY 5","year":2021,"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":"Selection (genetic algorithm); Range (aeronautics); Variety (cybernetics); Work (physics); Doors","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":[0.0003027543,0.0007334645,0.0003478094,0.0007229879,0.003335924,0.004124066,0.0006182852,0.001203106,0.8304074],"category_scores_gemma":[0.0008251891,0.0004797854,0.0002760731,0.0006277173,0.0003565632,0.001684586,0.001961923,0.001881921,0.6107847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134171,"about_ca_system_score_gemma":0.001547748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03071218,"about_ca_topic_score_gemma":0.1628723,"domain_scores_codex":[0.9997066,0.00001670551,0.000005576057,0.00005031635,0.0001231365,0.00009763107],"domain_scores_gemma":[0.9995438,0.0000246085,0.0000116224,0.0000359211,0.000174477,0.0002094365],"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":[0.000019,0.00002274439,0.0001120433,0.00001898825,6.159713e-7,0.00003459556,0.0000485872,0.000008710183,0.0001265026,0.0008654451,0.9820645,0.01667823],"study_design_scores_gemma":[0.000001832964,0.000005918529,0.0003701827,0.00001787913,4.220811e-7,0.00001617617,0.0001117161,0.00000783926,0.00006074658,0.00008056976,0.9993248,0.000001999754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006396191,0.000398083,0.000143194,0.001101707,0.001109139,0.00004793606,0.0009905277,0.0006932318,0.9948767],"genre_scores_gemma":[0.0004630532,0.00006799849,0.00002874477,0.0001153509,0.0000168169,0.000003766512,0.000131479,0.00008069685,0.9990921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1695926,"threshold_uncertainty_score":0.2419032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007705637878308804,"score_gpt":0.1974971032499324,"score_spread":0.1897914653716236,"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."}}