{"id":"W7033980664","doi":"","title":"SHORT CUTS #246 - Come From Huawei","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ridiculous; Government (linguistics); Payment; Work (physics)","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":[0.000435571,0.0005203392,0.0004219281,0.0006711627,0.002931878,0.003093885,0.0005831579,0.002247842,0.7307825],"category_scores_gemma":[0.002007509,0.0003793399,0.0003350223,0.0005382664,0.0003371229,0.001558329,0.002684188,0.001965666,0.540137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038213,"about_ca_system_score_gemma":0.0026512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470636,"about_ca_topic_score_gemma":0.07886277,"domain_scores_codex":[0.9996469,0.00002240281,0.00001174824,0.0000398303,0.0001876772,0.00009134879],"domain_scores_gemma":[0.998345,0.00008554163,0.00002770614,0.00008615648,0.000599984,0.0008556362],"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":[0.00001476117,0.000008881966,0.0000482674,0.00002057544,4.074221e-7,0.00002391966,0.00001874196,0.000004731869,0.00007704986,0.000355072,0.9888024,0.01062532],"study_design_scores_gemma":[0.000003458766,0.000006706848,0.000482467,0.00001713776,4.583447e-7,0.00001107976,0.00009380868,0.00001059794,0.00002739714,0.00008278326,0.9992619,0.000002162217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00124523,0.0009713569,0.0004836833,0.01718172,0.02610326,0.0003306312,0.004694262,0.001188317,0.9478016],"genre_scores_gemma":[0.001004335,0.0001331168,0.0001009908,0.002040853,0.0004359412,0.00003575876,0.0007487741,0.000153986,0.9953462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7307825,"threshold_uncertainty_score":0.384006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007787330180291088,"score_gpt":0.1705226669758318,"score_spread":0.1627353367955407,"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."}}