{"id":"W7045968267","doi":"","title":"Biden to highlight US-Canadian unity in first presidential trip to Ottawa | CNN Politics","year":2023,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Presidential system; Government (linguistics); Electoral politics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009824707,0.000718614,0.0004501958,0.0007989123,0.0164804,0.008308039,0.001012604,0.007925375,0.2096925],"category_scores_gemma":[0.002418479,0.0005158969,0.0006179402,0.0006510451,0.001478348,0.002154789,0.002935906,0.008260312,0.04746232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02789622,"about_ca_system_score_gemma":0.0433468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8039712,"about_ca_topic_score_gemma":0.9594051,"domain_scores_codex":[0.9982808,0.00005245505,0.00001753666,0.0001213513,0.0005653547,0.0009625347],"domain_scores_gemma":[0.997644,0.00008409339,0.00002925818,0.00005571773,0.0006978336,0.001489047],"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":[0.00001144987,0.000007199269,0.0001531225,0.000008761405,0.000001324049,0.0000432934,0.00005426895,0.00001554965,0.00005813304,0.002814961,0.9947731,0.002058784],"study_design_scores_gemma":[0.000004438219,0.000003972055,0.0006670824,0.00001620571,0.000002063066,0.00001450102,0.0003538048,0.00003179037,0.00007955937,0.0002841116,0.9985334,0.000009183855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004116304,0.002069302,0.0002888769,0.159817,0.04134744,0.0001714727,0.002786511,0.000509882,0.7888932],"genre_scores_gemma":[0.007565626,0.0002721984,0.000073774,0.01313303,0.0007062182,0.00002348672,0.0002125394,0.0001169475,0.9778961],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2096925,"threshold_uncertainty_score":0.7014914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101982695703506,"score_gpt":0.2614104100153891,"score_spread":0.250390583058354,"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."}}