{"id":"W7050757700","doi":"","title":"9781000179033.pdf","year":2021,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Uniwersytet Warszawski; Canadian Medical Association; University College London; University of Oxford; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Minnesota; Princeton University; Office of the Dean for Research, Princeton University; National Science Foundation","keywords":"Misinformation; Referendum; Brexit; Context (archaeology); Reading (process); Politics; Fake news","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006381305,0.0009320555,0.000564868,0.002018261,0.00135584,0.008954768,0.001047479,0.002019088,0.8814244],"category_scores_gemma":[0.003626948,0.0004417923,0.0005035546,0.003068044,0.0006027613,0.004053704,0.002748681,0.001670964,0.8554882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009740262,"about_ca_system_score_gemma":0.0009014811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583739,"about_ca_topic_score_gemma":0.002470286,"domain_scores_codex":[0.9994397,0.00005756307,0.00002673683,0.00007116549,0.0003513684,0.00005359377],"domain_scores_gemma":[0.998217,0.0004877328,0.0001008092,0.0001994341,0.000566547,0.0004284661],"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":[0.00002014943,0.00002007784,0.00009583199,0.0001511291,0.000002078272,0.0000323278,0.00005288057,0.000054399,0.0001973162,0.003841292,0.8523369,0.1431956],"study_design_scores_gemma":[0.000002370506,0.00000411171,0.0001226068,0.00006492611,5.523012e-7,0.00002546428,0.00002886705,0.00002045702,0.00007043799,0.0004526126,0.9992048,0.000002854156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002124812,0.0006935681,0.0008042915,0.001147657,0.00205319,0.00004106017,0.002748576,0.001273259,0.991026],"genre_scores_gemma":[0.0007754333,0.0007077632,0.000513474,0.0003580899,0.000307041,0.00003678837,0.001850409,0.0007770185,0.994674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1185756,"threshold_uncertainty_score":0.1691336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380133445152603,"score_gpt":0.276783582199388,"score_spread":0.2629822477478619,"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."}}