{"id":"W6980139577","doi":"","title":"Back to the Future: the Canada-United States Relationship at a Crossroads -2018 Annual Conference","year":2018,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Legislation; Work (physics); Feature (linguistics)","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":[0.002425057,0.0002914843,0.0003757832,0.001265884,0.0400428,0.01996107,0.001369137,0.005398739,0.02549671],"category_scores_gemma":[0.004755963,0.0002966277,0.0003526648,0.003131397,0.006570281,0.003914039,0.00497077,0.008789613,0.001225477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08842795,"about_ca_system_score_gemma":0.1657738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754701,"about_ca_topic_score_gemma":0.9927549,"domain_scores_codex":[0.9959463,0.0003454015,0.00002629157,0.0001597783,0.0009662482,0.002556041],"domain_scores_gemma":[0.9960388,0.0002973293,0.00006964553,0.00006114795,0.001195132,0.002337952],"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":[0.00005461074,0.00005254308,0.005589513,0.00004288727,0.00001525839,0.0005474728,0.02107248,0.0002275754,0.0001452145,0.195109,0.7471954,0.02994809],"study_design_scores_gemma":[0.00001295456,0.000009302034,0.01295059,0.0002163222,0.00001925861,0.00006792186,0.07721593,0.0002118242,0.0001564261,0.00942491,0.8996608,0.00005371263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07442118,0.01348218,0.0003437558,0.4267544,0.003084115,0.00004548762,0.000506871,0.00005061162,0.4813114],"genre_scores_gemma":[0.7637076,0.005841669,0.0002678576,0.03572894,0.0003448583,0.00003286692,0.0003005287,0.00007947711,0.1936962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08842795,"threshold_uncertainty_score":0.6415926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102810734963871,"score_gpt":0.2758238077909858,"score_spread":0.254795700441347,"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."}}