{"id":"W6986439408","doi":"","title":"POTUS G7 Quebec : CSPAN : June 9, 2018 1:57pm-2:25pm EDT","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; White (mutation); White paper; Foreign policy","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":[0.0009486534,0.001167043,0.000833014,0.001239335,0.009293758,0.005441843,0.001349264,0.001997517,0.7147901],"category_scores_gemma":[0.001507823,0.0004877606,0.0006611544,0.001157126,0.0008097678,0.001401117,0.002363404,0.002667903,0.3988708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108992,"about_ca_system_score_gemma":0.01432579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5813209,"about_ca_topic_score_gemma":0.8760979,"domain_scores_codex":[0.999325,0.00003783861,0.000007519765,0.0001018004,0.000264196,0.0002635996],"domain_scores_gemma":[0.9980341,0.00004527189,0.00003071867,0.0000839598,0.001067905,0.0007380698],"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":[0.00005470314,0.00002007896,0.000258364,0.00002421271,0.000002323801,0.00003860375,0.00004536352,0.00003792903,0.0001610889,0.000724589,0.9928036,0.005829104],"study_design_scores_gemma":[0.00001648333,0.0000156358,0.001805375,0.00005505753,0.000002410814,0.00001428929,0.0001506379,0.0001291084,0.0002569127,0.0002345789,0.9973094,0.00001009726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002110413,0.0007041557,0.0009985305,0.00452716,0.004241438,0.0002479698,0.02378582,0.003666901,0.9597177],"genre_scores_gemma":[0.00503637,0.0001974667,0.0002803403,0.0004272918,0.0001899294,0.00005901175,0.00488246,0.0008132666,0.9881139],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7147901,"threshold_uncertainty_score":0.8422894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216939000883921,"score_gpt":0.2461986599323342,"score_spread":0.234029269923495,"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."}}