{"id":"W4245023617","doi":"10.1163/2468-1733_shafr_com_08021","title":"Relations with Canada","year":2017,"lang":"en","type":"dataset","venue":"The SHAFR Guide Online","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Geography","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":[0.001460714,0.002108588,0.001613799,0.01058747,0.003974685,0.007645896,0.002334726,0.002155506,0.1132656],"category_scores_gemma":[0.0151736,0.001020181,0.001446898,0.02777041,0.001003745,0.001994901,0.003072488,0.002952772,0.07684023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01668025,"about_ca_system_score_gemma":0.05787083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9172873,"about_ca_topic_score_gemma":0.9525781,"domain_scores_codex":[0.9970702,0.0002546185,0.0001820412,0.0004517986,0.001175744,0.0008655225],"domain_scores_gemma":[0.9900852,0.001318668,0.0006086578,0.001249585,0.005210497,0.001527298],"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":[0.00001485547,0.000005717306,0.00072969,0.00009775805,0.000007397819,0.000008064877,0.00002091405,0.00007876397,0.000006994328,0.000473241,0.9970176,0.001539088],"study_design_scores_gemma":[0.0000593822,0.000004217783,0.007258098,0.0003331951,0.00001903743,0.00001884446,0.0002255316,0.0002380472,0.00008424102,0.0007879748,0.9909487,0.00002281602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001775433,0.0001751195,0.00002771884,0.0002261296,0.0000329779,0.0000118791,0.995347,0.0001527805,0.003848879],"genre_scores_gemma":[0.001375134,0.0003671901,0.0001901854,0.0001624007,0.00002138627,0.00008854848,0.9890007,0.0001500952,0.008644387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1132656,"threshold_uncertainty_score":0.3789113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230427747095777,"score_gpt":0.3358639752272942,"score_spread":0.3135596977563364,"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."}}