{"id":"W7008291601","doi":"","title":"2016-05-08 - BTWRLM161 - The Tightening Noose","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fell; Treaty; Parliament; Investment (military); Negotiation; Cash; Sign (mathematics); George (robot); General partnership","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":[0.001907963,0.00060888,0.0004800489,0.0007006527,0.002935828,0.008850873,0.001195754,0.004544942,0.5752873],"category_scores_gemma":[0.004950369,0.000358444,0.0006839419,0.0008468493,0.0008433625,0.00326619,0.003669354,0.004481593,0.4776637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045176,"about_ca_system_score_gemma":0.004293511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304901,"about_ca_topic_score_gemma":0.04187942,"domain_scores_codex":[0.9982126,0.000176195,0.00007018467,0.000209458,0.0008737435,0.0004578375],"domain_scores_gemma":[0.9986494,0.0001220263,0.0000424171,0.000194271,0.0006609093,0.0003309594],"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":[0.00005196511,0.00003176251,0.0001821987,0.00006496804,0.000003121491,0.00007044093,0.0001096154,0.00005287962,0.0003952779,0.02189185,0.9600043,0.01714168],"study_design_scores_gemma":[0.000003096493,0.000004369513,0.0001369653,0.00002353277,6.116903e-7,0.00001159174,0.00005223678,0.00001470607,0.0001032289,0.0004892405,0.9991568,0.000003465223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008728614,0.0005171892,0.0008358836,0.00783959,0.005373747,0.0001123555,0.003732724,0.001146457,0.9795691],"genre_scores_gemma":[0.003375788,0.0002184773,0.000382788,0.003733231,0.0002084218,0.00005398959,0.001877635,0.0008343125,0.9893154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5752873,"threshold_uncertainty_score":0.605801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385076582081496,"score_gpt":0.2533573108448892,"score_spread":0.2395065450240743,"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."}}