{"id":"W7017468158","doi":"","title":"(Archived) S1: Shout Out to Kenojuak Ashevak","year":2018,"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":"Government (linguistics); Work (physics); Key (lock); Population","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":[0.0006515438,0.000805027,0.0006161336,0.001265209,0.002720557,0.004496027,0.001200069,0.001482426,0.9377961],"category_scores_gemma":[0.005274382,0.000533114,0.0004638313,0.002052505,0.0004373359,0.002834044,0.003401571,0.001756675,0.8854466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009137104,"about_ca_system_score_gemma":0.001304709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01383032,"about_ca_topic_score_gemma":0.04427547,"domain_scores_codex":[0.999665,0.00002775148,0.00001328631,0.00004190697,0.0001733086,0.00007876989],"domain_scores_gemma":[0.9977692,0.0002919725,0.00006913942,0.0002352955,0.001141501,0.0004928683],"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":[0.00001522957,0.000005696043,0.00003887416,0.00003264264,4.524018e-7,0.00001046718,0.00002411699,0.000009080818,0.00002361674,0.0001934895,0.992839,0.006807338],"study_design_scores_gemma":[0.000007870883,0.000004856881,0.000308292,0.00004915859,9.072103e-7,0.00001801604,0.00009317272,0.00002062825,0.00006339658,0.0002638181,0.999164,0.000006006004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000512596,0.0002838612,0.000685996,0.001758356,0.002805484,0.0001830013,0.07418673,0.00524081,0.9143431],"genre_scores_gemma":[0.001757859,0.0001793438,0.0004760434,0.0007928347,0.0002237848,0.00011938,0.02104978,0.003354914,0.9720461],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06220388,"threshold_uncertainty_score":0.08872622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00926995465599074,"score_gpt":0.2112241428326597,"score_spread":0.201954188176669,"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."}}