{"id":"W4383534168","doi":"10.1108/oxan-es280340","title":"Canada walks thin line with food inflation help","year":2023,"lang":"en","type":"article","venue":"Emerald expert briefings","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Line (geometry); Inflation (cosmology); Geography; Mathematics; Physics; Theoretical physics","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":[0.006521752,0.001275557,0.00117088,0.002081263,0.01653294,0.01225783,0.00361411,0.05171857,0.05786569],"category_scores_gemma":[0.03173676,0.001204868,0.002110799,0.002630039,0.005271586,0.00543267,0.005027662,0.03341072,0.008684688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05604727,"about_ca_system_score_gemma":0.3250633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950488,"about_ca_topic_score_gemma":0.9742641,"domain_scores_codex":[0.9848518,0.001042874,0.0005383923,0.0008535919,0.007661099,0.005052245],"domain_scores_gemma":[0.9595039,0.005133694,0.001102204,0.0007339192,0.01884012,0.01468613],"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":[0.000008445402,0.000008982071,0.0001285323,0.00002734075,0.00000413365,0.00002782751,0.00005083064,0.00002297028,0.00002046892,0.002365281,0.9946161,0.002719061],"study_design_scores_gemma":[0.00004326321,0.000009790702,0.0009244398,0.0002519506,0.00001865252,0.00001993796,0.0003330674,0.00005411874,0.00005602147,0.001290035,0.9969656,0.00003329123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0005340258,0.003576795,0.0001701121,0.9393067,0.01873568,0.00007297446,0.0006337711,0.0001116323,0.03685831],"genre_scores_gemma":[0.007322922,0.003713269,0.000676243,0.8438236,0.003973936,0.0001038173,0.0003422886,0.0001146163,0.1399294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05786569,"threshold_uncertainty_score":0.4066533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969162041529103,"score_gpt":0.2615579021364786,"score_spread":0.2418662817211875,"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."}}