{"id":"W7070672006","doi":"","title":"#135: Rachael Dyer & Scott Alexander Ruderman | Pay or Die","year":2023,"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":"Rationing; Medical prescription; Feature (linguistics); Focus (optics); Feature film","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":[0.0006987706,0.0006293269,0.0002654516,0.0004670911,0.003897391,0.004028261,0.0006971013,0.003013313,0.337409],"category_scores_gemma":[0.003660559,0.0003647364,0.0002879238,0.0003544261,0.0009902776,0.003395494,0.001856475,0.004319903,0.1357355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042831,"about_ca_system_score_gemma":0.001858083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156641,"about_ca_topic_score_gemma":0.03759151,"domain_scores_codex":[0.9992434,0.0001034802,0.00002595504,0.0001402754,0.0003300229,0.000156831],"domain_scores_gemma":[0.9988029,0.0002577633,0.00006783225,0.00005261323,0.0004020398,0.0004167584],"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":[0.000003923625,0.000004822709,0.00002924556,0.000009494308,2.396087e-7,0.00002501565,0.0000739071,0.00000281545,0.0000345133,0.0008452736,0.99418,0.004790724],"study_design_scores_gemma":[0.000001603197,0.000004294761,0.0001280083,0.00002096469,4.00951e-7,0.00004921624,0.000207383,0.000008038866,0.00002961374,0.00009527877,0.9994525,0.000002766393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001118069,0.006227635,0.0004527744,0.163656,0.04195625,0.0001108253,0.0005494129,0.0006667703,0.7852622],"genre_scores_gemma":[0.003961043,0.001338355,0.0001011335,0.01970711,0.002283491,0.00003095908,0.00007207364,0.0001797311,0.972326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.662591,"threshold_uncertainty_score":0.9451057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418607676540888,"score_gpt":0.2233712934344947,"score_spread":0.2091852166690858,"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."}}