{"id":"W7072126286","doi":"","title":"Uncomfortable situations we've obviously all been through before","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Set (abstract data type); Action (physics); Key (lock); Context (archaeology)","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":[0.001067728,0.00119568,0.0004585279,0.0005255243,0.005733828,0.006083392,0.001268935,0.003025625,0.3163019],"category_scores_gemma":[0.009458892,0.0004031478,0.0007234839,0.00053066,0.002303228,0.008579716,0.005543886,0.004745333,0.2206502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641076,"about_ca_system_score_gemma":0.001787681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005231196,"about_ca_topic_score_gemma":0.01679868,"domain_scores_codex":[0.9986927,0.0004058994,0.00003760737,0.0001073754,0.0004486257,0.0003078752],"domain_scores_gemma":[0.9975514,0.000391527,0.0002128014,0.0002562809,0.0006588153,0.0009293293],"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":[0.0000162728,0.00001705983,0.0001734673,0.00007776754,0.000003241386,0.0003575598,0.001584797,0.00002438424,0.000128604,0.002354336,0.9673336,0.02792896],"study_design_scores_gemma":[0.000002867064,0.000008267454,0.0002578369,0.0001793769,0.000002624963,0.000699301,0.005423833,0.00003456158,0.00009632906,0.00156784,0.991714,0.00001315013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007970113,0.005856338,0.006353225,0.06691809,0.02349575,0.0001714885,0.001576495,0.003841343,0.8838171],"genre_scores_gemma":[0.04269614,0.005112853,0.002478675,0.02545995,0.002129932,0.0001579417,0.001017697,0.001878504,0.9190683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3163019,"threshold_uncertainty_score":0.9752123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603752728712177,"score_gpt":0.2115385880707462,"score_spread":0.202934835342034,"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."}}